<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>This work was supported by grants the RFBR №</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>Retinamorphic bichromatic Schrödinger metamedia</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>V. Labunets</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>I. Artemov</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>V. Chasovskikh</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>E. Ostheimer</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Capricat LLC</institution>
          ,
          <addr-line>Pompano Beach, Florida</addr-line>
          ,
          <country country="US">USA</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Ural State Forest Engineering University</institution>
          ,
          <addr-line>620100, Ekaterinburg</addr-line>
          ,
          <country country="RU">Russia</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2017</year>
      </pub-date>
      <volume>1</volume>
      <fpage>7</fpage>
      <lpage>07</lpage>
      <abstract>
        <p>In this work, we apply quantum cellular automata (QCA) to study pattern formation and image processing in quantum-diffusion Schrödinger metamedia with generalized complex diffusion coefficients. Generalized complex numbers have the real part and imaginary part with the imaginary unit i2  1 (classical case), i2  1 (double numbers) and i2  0 (dual numbers). They form three 2-D complex algebras. Discretization of the Schrödinger equation gives the quantum Schrödinger cellular automaton with various complex-valued physical parameters. The process of excitation in these media is described by the Schrödinger equations with the wave functions that have values in algebras of the generalized complex numbers. This medium can be used for creation of the eye-prosthesis (so called the ”silicon eye”). The medium suggested can serve as the prosthesis prototype for perception of the bichromatic images.</p>
      </abstract>
      <kwd-group>
        <kwd>Schrödinger equation</kwd>
        <kwd>Schrödinger transform of image</kwd>
        <kwd>quantum metamedia</kwd>
        <kwd>quantum cellular automata</kwd>
        <kwd>silicon eye</kwd>
        <kwd>quantum image processing</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        The metamedia (metamaterials), in which the electro dynamical, thermal and other physical parameters have "exotic" values
(negative, imaginary, complex or quaternion ones), shows us the wonderful diversity of dynamic behavior and self-organization
types. It is becoming more and clearer that such systems are not exclusive: when researchers try to investigate the nature of
complex systems - chemical, biological or physical, - they find many of certain examples. In particular, this fact mainly refers to
biological systems, because these systems are always quite far from stable state and their parameters frequently have exotic
values. A theoretical quantum brain model was proposed in [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ] using a linear and nonlinear Schrödinger wave equation. The
model proposes that there exists a quantum process (quantum part of the brain) that mediates the collective response of a neural
lattice (classical part of the brain). Perception, emotion etc. are supposed to be emergent properties of such compound a
(classical-quantum) neural circuits.
      </p>
      <p>
        Linear and nonlinear Schrodinger equations [
        <xref ref-type="bibr" rid="ref2 ref3">2,3</xref>
        ] are important members of the family of methods for image processing,
computer vision, and computer graphics. Schrödinger transform of image as a new tool for image analysis was first given in [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ].
In the paper, exterior and interior of objects are obtained from Schrödinger transforms of original image and its inverse image.
Neural networks and cellular automata (in form of a media) which are compatible with the theory of quantum mechanics and
demonstrate the particle-wave nature of information have been analyzed in [
        <xref ref-type="bibr" rid="ref4 ref5 ref6">4-6</xref>
        ]. The studying of processes in such metamedia
is very important for many branches of the system theory. There is no general theory of the metamedia yet, and every particular
example of similar media, usually provides us with the examples of new dynamic or self-organization types.
      </p>
      <p>In this work, we apply quantum cellular automata to study pattern formation and image processing in quantum-diffusion
Schrodinger metamedia with generalized complex diffusion coefficients. Generalized complex numbers have the real part and
imaginary part with the imaginary unit i2  1 (classical case), i2  1 (double numbers) and i2  0 (dual numbers). They form
three 2-D complex algebras. Discretization of the Schrödinger equation gives the quantum Schrödinger cellular automaton with
various complex–valued physical parameters. The process of excitation in these media is described by the Schrodinger equations
with the wave functions that have values in algebras of the generalized complex numbers. This medium can be used for creation
of the eye-prosthesis (so called the ”silicon eye”). The medium suggested can serve as the prosthesis prototype for perception of
the bichromatic images.</p>
      <p>The rest of the paper is organized as follows: in Section 2, the object of the study (the Schrödinger equation) is described. In
Section 3, a brief introduction to mathematical background (algebra A2 (R | i), i2  1, 0 of generalized complex numbers
z  a  ib ) is given (subsection 3.1) in order to understand the concept behind the proposed method. In subsection 3.2, the
proposed method based on Schrödinger equations is explained. Next, we defined Schrödinger transform of image, discussed its
properties and the properties of the Schrödinger transforms are analyzed. In Section 4, the basic metamedia (the
SchrödingerEuclidean, Schrödinger-Minkowskian, Schrödinger-Galilean, Schrödinger-Yaglom) are devised and analyzed in detail. The
simulation result and algorithm complexity are demonstrated too. Finally, we gave our conclusion in Section 5.</p>
    </sec>
    <sec id="sec-2">
      <title>2. The object of the study</title>
      <p> 2 (x, y, t)
 D 
 x2

2 (x, y, t) </p>
      <p>  f  x, y, t  ,
y2 
(1)
where  (x, y, t) is a function describing the media's excitement, f  x, y,t  is an exciting source (input signal) and
D is a
diffusion coefficient (real number).</p>
      <p>
        The main purpose of this work is the investigation of derivative laws for Schrödinger metamedia with generalized complex
diffusion coefficient in the form of quantum cellular automata. The generalized complex numbers [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ] consist of a real part, an
imaginary part and a generalized imaginary unit that have one of the following properties: i2  1 (a classical case), i2  1
(double numbers) and i02  0 (dual numbers). They form three 2-D complex algebras A2 (R | i) : z  a  ib | a,b  R, where
i  i , i0 , i . There is a specific type of excitable metamedium for each kind of complex numbers: for A2 (R | i ) - the
Schrödinger-Euclidian metamedium (when D  Dcl  i Dqu ), for A2 (R | i0 ) - the Schrödinger-Galilean metamedium (when
D  Dcl  i0 Dqu ) and for A2 (R | i ) - the Schrödinger-Minkowskian metamedium (when D  Dcl  i Dqu ), where Dcl , iDqu are
classical and quantum diffusion coefficients, respectively.
      </p>
      <p>
        Excitation of waves in metamedia are described by three Schrödinger equations with a A2 (R | i) -valued wave functions
 (x, y, t) . The discretization of the Schrödinger equations gives us a metamedia models in the form of three excitable cellular
automata. Their microelectronic realizations appear to be a programmable Schrodinger metamedia [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ].
      </p>
      <p>
        In this work, we study properties of the Schrödinger excitable metamedium in the form of a cellular automaton. The more
detailed information about cellular automata can be found in [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ]. The automaton's cells are located inside a 2D array. They can
perform basic operations with complex numbers (in different complex algebras A2 (R | i) ). These cells are able to inform the
neighboring cells about their states. Such media possess large opportunities in processing of bichromatic images in comparison
with the ordinary diffusion media with the real-valued diffusion coefficients. The latter media are used for creation of the
eyeprosthesis (so called the "silicon eye"). The medium suggested can serve as the prosthesis prototype for perception of the
bichromatic images [
        <xref ref-type="bibr" rid="ref10 ref11 ref12 ref13">10-16</xref>
        ].
      </p>
    </sec>
    <sec id="sec-3">
      <title>3. Methods</title>
      <p>
        are different [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ]:
      </p>
      <sec id="sec-3-1">
        <title>3.1. Mathematical background</title>
        <p>We consider the algebraic and geometric properties of three 2-D complex algebras A2 (R | i) : z  x  iy | x, y  R, where
i  i ,i0 ,i . Additions for all three algebra are identical: z1  z2   x1  iy1    x2  iy2    x1  x2   i  y1  y2  , but multiplications
 x1x2  y1 y2   i  x1 y2  x1 y2  , i2  1,

z1z2   x1  iy1   x2  iy2    x1x2  y1 y2   i  x1 y2  x1 y2  , i2  1,</p>
        <p> x1x2  i  x1 y2  x1 y2  , i2  0.</p>
        <p>The conjugation operation can be defined for A2 (R | i) . It maps each number z  x  iy to the number z  x  iy : x  iy . It is
possible to define a pseudo norm using conjugation.</p>
        <p>Definition 1. The quadratic norm
 x2  y 2 , z  A2 (R | i ),

z  zz  x2  i2 y 2   x2  y 2 , z  A2 (R | i ),</p>
        <p> x2 , z  A2 (R | i0 ).</p>
        <p>The conjugation operation can be defined is called the pseudonorm of the number z  x  iy . It is easy to check that
N z1z2   N z1  N  z2  .</p>
        <p>Definition 2. The value of an arithmetical square root of the product of numbers zz  N  z is called an absolute value of a
generalized complex number z and can be denoted as norm
 x2  y2 , z  A2 (R | i ),

z  zz  x2  i2 y2   x2  y2 , z  A2 (R | i ), (2)
 x , z  A2 (R | i0 ).</p>
        <p></p>
        <p>This absolute value can be interpreted as a distance (elliptic, hyperbolic or parabolic) from origin to the point z . In the first
case, the absolute value is called elliptic, in the second case we are dealing with a hyperbolic value (it can also take imaginary
values because of the result of subtraction operation x2  y2 ) and in the third case, it is called the parabolic absolute value. The
generalized complex planes are turned into a 2-D pseudo metrical space if they are equipped the following pseudo metrics:
where z1  x1  iy1, z2  x2  iy2</p>
        <p>The algebra A2 (R | i) equipped with pseudo metrics, form three metrical spaces with corresponding geometries: A2 (R | i ) is
transformed into the Euclidean geometry, A2 (R | i ) - into the Minkowskian geometry and A2 (R | i0 ) - into the Galilean
geometry.</p>
        <p>Definition 3. The set of all points in the generalized complex plane A2 (R | i) satisfying the equation | z |2  x2  i2 y2  r2 is
called A2 (R | i) -circle of the radius r centered at the origin.</p>
        <p>There are three types of circles: A2 (R | i0 ) -circle is the classical Euclidean (elliptic) circle (Fig.1a), A2 (R | i ) -circle is the
Minkowskian (hyperbolic) circle (Fig.1b) and A2 (R | i0 ) -circle is the Galilean (parabolic) circle in the form of two parallel
lines (Fig.1c). If z  x  iy then the generalized complex number z0  z / z has the unit modulus if z  0. It is easily see, that
(4)
(7)</p>
      </sec>
      <sec id="sec-3-2">
        <title>3.2. The generalized Schrödinger equation and cellular automata</title>
        <p>Consider the following 2-D Schrödinger equation
d
dt</p>
        <p> d 2
(x, y, t)  D  
 dx2</p>
        <p>d 2 
 dy2  (x, y, t)  f  x, y, t  ,
where (x, y, t) is a wave A2 (R | i) -valued function. It describes the state (x, y, t) (in terms of generalized complex numbers)
of a metamedium point with coordinates (x, y) at the moment t . In (7) D  Dcl  iDqu is an A2 (R | i) -valued diffusion
coefficient. If D  Dcl  R is a real number then (7) is an ordinary diffusion (or heat) equation in the real ordinary medium (we
will call one as the Fourier-Gauss medium). If D  iDqu  C is an imaginary number then (7) becomes an ordinary Schrödinger
equation with the Plank's constant iDqu  i / 2m If D  Dcl  iDqu  D cos  i sin    D ei  A2 (R | i), then (7) is our
where
 x  cos  , if i  i ,  y  sin  , if I  i ,
 x 2  y 2  x 2  y 2
cos  x =  x  ch , if i  i , sin  y =  y  sh , if I  i , (5)
x 2  i 2 y 2  x 2  y 2 x 2  i 2 y 2  x 2  y 2
 
 x  1  cg , if i  i0 ,  y  sg , if I  i0 .</p>
        <p> x  x
Here cos , sin are generalized trigonometric functions. In the first case ( i  i ) generalized trigonometric functions coincide
with classical (elliptic) functions: cos  cos , sin  sin . In the second case ( i  i ) they are equal to hyperbolic functions
cos  ch , sin  sh . The third case ( i  i0 ) gives us new kinds of trigonometric functions: cos  cg  1,
sin  sg   which will be called parabolic (or Galilean) functions.</p>
        <p>According to (4)-(6), an arbitrary generalized complex number with the unit modulus has the following form
cos   i  sin  , if i  i ,
z  ei  cos  i  sin   ch  i  sh , if i  i , (6)
In this work, we study the diffusion equation (or the heat equation) with a diffusion coefficient in the form of a generalized
complex number and with A2 (R | i) -valued wave function. We will call such equation the generalized Schrodinger equation.
1  i0   ,</p>
        <p>if i  i0 .</p>
        <p>
          Image Processing, Geoinformation Technology and Information Security / V. Labunets et al.
generalization of both diffusion and Schrodinger equations. In case of zero initial conditions, we can write the solution (7) in the
form of the Cauchy integral:
This integral we will call the generalized Schrödinger transform (GST) of the initial image f (x, y,t). If
iDqu  i / 2m  C  A2 (R | i ), then GST is ordinary Schrödinger transform [
          <xref ref-type="bibr" rid="ref2 ref3 ref4 ref5 ref6">2-6</xref>
          ].
        </p>
        <p>Let us introduce a 2-D regular lattice with nodes  xn , ym , tk  , where xn1  xn  h, ym1  ym  h and tk 1  tk  . Here h
and  are spaces between nodes on the space Z2Sp  R2 and time Zt  Rt lattices, respectively. For discrete Laplacian we use
the following approximation:
d 2 / dx2   (xn  1, ym , tk )  (xn 1, ym , tk )  2 (xn , ym , tk ),
d 2 / dy2   (xn , ym 1, tk )  (xn , ym 1, tk )  2 (xn , ym , tk ),
d 2 / dt   (xn , ym , tk 1)  (xn , ym , tk ).</p>
        <p>As a result, we get the 2-D discrete Schrödinger equation
 (xn , ym , tk  1)   (xn , ym , tk ) 
D  (xn 1, ym , tk )  (xn 1, ym , tk )  (xn , ym 1, tk )  (xn , ym 1, tk )  4 (xn , ym , tk ).</p>
        <p>Now, we give the definition of a 2-D “cellular space” (2-D regular lattice) in which the cellular automaton is defined. A regular
lattice Z2Sp  R2Sp consists of a set of cells (elementary automata, or electrical circuits A ut ), which homogeneously cover a 2-D
2
Euclidean space. Each cell is labeled by its position A ut(xn , ym )  A ut(n, m), n, m  ZSp</p>
        <p>Regular, discrete, infinite network consisting of a large number of simple identical elements in the form of elementary
automata A ut(n, m) a copy of which will take place at each node (n, m) of the net is called the cellular automaton (see Fig.2
and Fig.3a). Each so decorated note will be called a cell A ut(n, m) and will communicate with a finite number of other cells
A ut(i, k ) , which determine its neighborhood (i, k)  M(m, n) , geometrically uniform M(m, n)  M, M(m, n) Z2Sp . The
neighborhood of the cell A ut(n, m) (including the cell itself or not, in accordance with convention) is the set of all the cells
A ut(i, k ) , (i, k)  M(m, n) of the network which will locally determine the evolution of A ut(n, m) . This local communication,
which is deterministic, uniform and synchronous determines a global evolution of the cellular automaton, along discrete time
steps tk 1  tk  .</p>
        <p>In the case of ZS2p , the classical neighborhoods are the von Neumann’s and Moore’s ones. They are known as the nearest
neighbors neighborhoods, and defined according to the usual norms and the associated distances. More precisely, for
(i, j)  Z2Sp , || (i, j) ||1 | i |  | j | and || (i, j) ||  max | i |,| j | will denote 1 - and  -norm respectively. Let 1 and   be the
associated distances. Then Von Neumann and Moore neighborhoods (Fig.2) are M (m, n) : (i, k ) | 1 (m, n), (i, k )  1 and
M (m, n) : (i, k ) |   (m, n), (i, k )  1, respectively. To each cell A ut(n, m) we assign an A2 (R | i) -valued state
 (n, m, k )   (xn , ym , tk ) (i.e., the media's excitement). The dynamics of the cellular automaton are determined by a local
transition rule, which specifies the new state  (n, m, k 1)   (xn , ym , tk 1 ) of a cell as a function of its interaction Von
Neumann neighborhood configuration, according to (10), i.e.,
(8)
(9)
(10)
(11)
 (n, m, k  1)   (n, m, k ) 
D  (n 1, m, k)  (n 1, m, k)  (n, m 1, k)  (n, m 1, k)  4 (n, m, k).</p>
        <p>This rule shows us the relation between a state  (n, n, k 1) of the cell A ut(n, m) at the current moment time k 1 and the
state  (n, m, k ) the same cell A ut(n, m) and the states of the four neighboring cells (n 1, m, k ), (n 1, m, k ),
(n, m 1, k ), (n, m 1, k ) at the previous moment time k .</p>
        <p>a) b)
Fig. 2. Examples of interaction neighborhoods (gray and black cells) for the black cell in a 2-D square lattice Z2Sp .Von Neumann neighborhoods M (m,n)
and b) Moore neighborhoods M (m, n) .</p>
        <p>The global time evolution of the cellular automaton depends on an algebraic nature of the number D . If it is a real number
D  Dcl  R then the automaton simulates the heat propagation on a 2-D plane. According to the results of analysis, in this case
an elementary medium's cell is an ordinary RC-circuit (see Fig. 3b). It is interesting to investigate the global time evolution of
the Schrödinger cellular automaton with diffusion coefficient in the form of a generalized complex number</p>
        <p>Image Processing, Geoinformation Technology and Information Security / V. Labunets et al.</p>
        <p>D  Dcl  iDqu  A2 (R | i) , where i2  1, 0. The analysis shows that in this case the elementary cells of a 2-D Schrödinger
cellular automata are not RC-circuits, but a 2-channel filters (see Fig. 3c).</p>
        <p>a) b) c)
Fig. 3. a) The 2-D cellular automaton (the Schrödinger metamedium) and b) its equivalent electrical circuit in the form of spatially distributed RC-circuit that
simulates a simple diffusion media, c) a single cell A ut (n, m) of the 2-D cellular automaton in form of a 2-channel (complex) filter.</p>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>4. Results and Discussion</title>
      <sec id="sec-4-1">
        <title>4.1. The Schrodinger-Euclidean metamedium</title>
        <p>For studying the global time evolution of the Schrödinger cellular automaton we will use the fixed absolute value of D ,
namely D  0.11, which provides quite fast process of diffusion propagation in the classical case with a real-valued diffusion
coefficient D  D0  0.11 , but will not lead to the memory overflow because of extremely high values</p>
        <p>For a classical complex case ( i2  1 ), the diffusion coefficient can be represented in the polar form: D  Dcl  i Dqu 
 Dc2l  Dq2u  ei   D0  ei  , where D0 </p>
        <p>Dc2l  Dq2u ,   arctg  Dqu / Dcl . An ordinary diffusion occurs when   0
(realvalued diffusion coefficient). The quantum diffusion (for free quantum particle) occurs when    / 2 (a purely imaginary
diffusion coefficient like the one in the Schrodinger equation). It is interesting to study how the global time evolution is
changing when the angle  runs along interval 0     / 2 . For   0 we have the Fourier-Gaussian medium (classical
Newton world), and for    / 2 we have the Schrödinger-Euclidean medium (quantum world). On the  's increase a classical
diffusion Fourier-Gaussian medium turns into the quantum Schrödinger-Euclidean medium.</p>
        <p>On Fig. 4 and Fig. 5 the results of modeling for a complex diffusion coefficient D with different values of phase  are
presented. Each picture is divided onto four parts: the bottom row represents a real (x, y,t) and an imaginary (x, y,t)
components of a wave excitement in the form of A2 (R | i ) -valued function (x, y, t) , the absolute value (x, y,t) is presented
in the top left quarter, the phase Arg(x, y,t) is shown in the top right quad.</p>
        <p>a)   00
b)   50
Fig. 4. The excitement of the Schrödinger-Euclidean metamedium at the time tk  128 for two values of diffusion coefficient D  D0  ei  , where   00
(the Fourier-Gaussian medium) and   50 (the Schrödinger-Euclidean metamedium).</p>
        <p>At the initial moment of time a single cell A ut(x0 , y0 ) was being excited by the bichromatic Dirac delta-function
(x0 , y0 , t  0)   (x0 , y0 , 0)  i (x0 , y0 , 0)   (x0 , y0 , 0)1 i . In process of time, the excitement covers more and more cells
of automaton. Fig. 4 shows the excitement of a metamedium with two diffusion coefficients:   00 (a real-valued diffusion
coefficient) and   50 at the moment of time tk  128 . It can be seen that when   00 the excitement takes the form of the
2D Gaussian surface (see Fig. 4a and Fig. 5a) and describes an ordinary diffusion process. Dark intensities correspond to higher</p>
        <p>Image Processing, Geoinformation Technology and Information Security / V. Labunets et al.
number values on the mentioned figures. When   50 the excitement has not very strongly marked form of a blurred wave
packet (see Fig. 4b and Fig. 5b). The wave nature denotes on the appearance of quantum properties of the Schrodinger-Euclid
metamedium even with small values of an angle  .</p>
        <p>a)   00 b)   50
Fig. 5. The typical excitements a) in the form of 2-D Gaussian surface in the Fourier-Gaussian metamedium and b) in the form of a wave packet in the</p>
        <p>Schrödinger-Euclidean metamedium ( tk  128 ,   50 ).</p>
        <p>Remark 1. Note that with small angles  the absolute value of an imaginary component is significantly smaller than an
absolute value of a real part: (x, y, t)  (x, y, t) . For this reason in
(x, y, t) 
 (x, y, t)2  (x, y, t)
2
 ( x, y, t) the real value prevails. Thereby in this case (low values of  ) the real part and the absolute value of an
excitement function have the form of a smooth Gaussian surface. For the visualization of low imaginary part, the normalization
has been applied on a Fig 4b and Fig 5b.</p>
        <p>When the  value is being increased, firstly, a real part also begin to demonstrate a wave nature, and secondly the values of
an imaginary and a real parts are flattening (x, y, t)  (x, y, t) . It is shown on a Fig. 6 that when the phase  is
being increased, the excitement becomes more and more similar to a wave packet in form of a 2-D Gaussian surface. Inside of
that surface the real and imaginary components are fluctuating in an antiphase (see interchanging black and white rings on a
figure). The absolute value of an excitement has the form of a 2-D Gaussian surface.</p>
      </sec>
      <sec id="sec-4-2">
        <title>4.2. The Schrödinger-Minkowskian metamedium</title>
        <p>In this case the diffusion coefficient is a double number and the wave function (x, y, t) takes its values in the algebra of
double numbers A2 (R | i ) : z  a  ib | a,bR where i2  1.
Every double number can be represented in the following polar form
D  Dcl  i1Dqu  D  cosh   i1  sinh   
 D ei   A2 (R | i1 ), where D  D0 </p>
        <p>Dc2l  Dq2u ,   arcth b0 / a0  . Here we consider the case when Dcl  Dqu . It was
done so to get an absolute value D </p>
        <p>Dc2l  Dq2u that doesn't appear to be a complex number. In addition, the values Dc2l , Dq2u
were chosen so that D  D0 </p>
        <p>Dc2l  Dq2u  0.11. Fig. 7 contains the picture of the excitement of a cellular automaton after 128
iterations (initial excitement is the bichromatic Dirac function).</p>
        <p>  50</p>
        <p>  200</p>
        <p>Fig. 7. The excitement of a Schrödinger-Minkowskian metamedium at the moment tk  128 for two values of a diffusion coefficient's phase D  D0  ei </p>
        <p>Unlike the previous case (when both real and imaginary values had the wave nature) in this case a real component has a
smooth Gaussian form and real part has the form of a wave packet. It turned out that the frequency of fluctuations of real values'
waves does not increase when the phase of a diffusion coefficient D grows. In the center of a phase image (top right quarter of
pictures) the increase of an angle  leads to the sharper look of a zero phases ring.</p>
      </sec>
      <sec id="sec-4-3">
        <title>4.3. The Schrödinger-Galilean metamedium</title>
        <p>In this case the diffusion coefficient D is a dual number and wave function (x, y, t) takes its values in the algebra of dual
numbers A2 (R | i0 ) : z  a  i0b | a,bR, where i02  0. Every dual number can be represented in the following polar form
D  Dcl  i0 Dqu  D  1 i0   Dcl ei0   A2 (R | i0 ), where D  Dcl ,  Dqu / Dcl . On Fig. 8 we can see the form of
excitement process after 128 iterations from the impact of the Dirac delta-function at the initial moment of time.</p>
        <p>As in the previous case, a real component does not demonstrate a wave nature when an imaginary component does. What is
more, when we increase the value of  to   450 then the average value of a real part becomes lower than the average value
of an imaginary part, and when   450 an imaginary component begins to prevail over the real one. In addition, in this case the
wave nature of the absolute value of a wave function is absent because of the fact that it does not include a non-zero imaginary
part. The reason of this is that for dual numbers we have an equation z  x  i0 y  x . In this way the imaginary part of a wave
function is "living on its own", it does not have an impact on an absolute value. So, it is like an invisible "ghost" that
accompanies it.</p>
        <p>Fig. 8. The excitement of a Schrödinger-Minkowskian metamedium at the moment tk  128 for two values of a diffusion coefficient's phase D  D0  ei </p>
        <p>
          The generalization of three algebra A2 (R | i) : z  a  ib | a,b  R , where i  i , i0 ,i , is the Yaglom algebra [
          <xref ref-type="bibr" rid="ref7">7</xref>
          ]
A2 (R | ik ) : z  a  ikb | a,b  R in which we have ik2  k  R , where k is an arbitrary real number (see Fig. 9). Particularly
when k  1, 0 an algebra A2 (R | ik ) turns into A2 (R | i) . In this algebra, the addition and multiplication rules have the
following form:
        </p>
        <p>z1  z2   x1  ik y1    x2  ik y2    x1  x2   ik  y1  y2  ,
z1z2   x1  ik y1   x2  ik y2    x1x2  k  y1 y2   ik  x1 y2  x1 y2 .</p>
        <p>Image Processing, Geoinformation Technology and Information Security / V. Labunets et al.</p>
        <p>The conjugation operation can be defined in the algebra A2 (R | ik ) . Such operation maps each number z  x  ik y in a new
number z  x  ik y : x  ik y . It is obvious that z  zz  x2  ky 2 . It can be easily seen that
where
In the considered case the diffusion coefficient D is the A2 (R | ik ) -valued complex number and the wave function ( x, y, t )
takes its values in the algebra A2 (R | ik ) , where ik2  k. We will call the corresponding medium the Schrodinger-Yaglom
metamedium. According to (12) every A2 (R | ik ) -valued diffusion coefficient can be represented in a polar form:</p>
        <p>Now D depends on two parameters  and k . The results of modeling the Schrödinger-Yaglom metamedia for different
values of k are shown on Fig. 10. It should be noted that the ring of zero phases (the bright one), which was inherent for the
case with dual numbers (k = 0) also is the first inner ring of phase fluctuations for the negative values of a parameter k (on a
Fig. 10 k  0, 25 and k  0, 05 ). We can see the second bright ring that is located after the first one and also after the first
black ring. The second bright ring moves away from the point of origin when the absolute value of k is being decreased. When
k  0 (see Fig. 10c) the mentioned ring along with the first dark one tends to infinity.
(13)
Fig. 9. In every plane, that crosses the vertical of the k -parameter axis, there is an algebra A2 (R | ik ) : z  a  ikb | a,b  R . Three planes that cross this
axis at three points k  1, 0 represent three algebras of complex numbers that were considered before.</p>
        <p>a) b) c)
Fig. 10. The excitement of three Schrödinger-Yaglom metamedia at the moment tk  128 for three values of the parameter k : a) k  0, 25 , b)
k  0, 05 , c) k  0 for identical values arg{D}  40.5 and D  0.07 .</p>
      </sec>
      <sec id="sec-4-4">
        <title>4.5. The interference of two excitements</title>
        <p>Because the excitement function  ( x, y, t ) frequently has a wave nature, it is very interesting to study the interference picture
of two excitements that appears simultaneously in the different points of a metamedium.</p>
        <p>Image Processing, Geoinformation Technology and Information Security / V. Labunets et al.</p>
        <p>Fig.11a shows us a superposition of two excitements when a diffusion coefficient is a real number. In this case both
excitement processes appear to be 2-D Gaussian surfaces that add up with each other in process of time.</p>
        <p>More interesting results can be seen on Fig. 11b-c for the Schrödinger-Euclidean metamedium with
  arg{D}   / 2 i2  1. In that case the interference of excitements occurs, like it happens in a classical quantum
mechanics. The results of an interference for the Schrodinger-Galilean metamedium with a dual diffusion coefficient (i2  0)
are presented on Fig. 11d. Let us note that white rings of the zero phases don't add up with each other like it happens in the case
of a classical interference. They are smoothly connecting instead.</p>
      </sec>
    </sec>
    <sec id="sec-5">
      <title>5. Conclusion</title>
      <p>The metamedia with a generalized complex diffusion coefficients were first studied. Their time evolutions are described with
generalized Schrodinger equations. The implementation of such metamedia with a cellular automaton was considered. In
addition, this work contains the results of modeling, which shown the complex character of such media's behavior. Our future
work will be focused on using commutative and Clifford algebras for hyperspectral image processing and pattern recognition.
the Schrödinger-Euclidean diffusion media (complex diffusion coefficient ): b) two closely located points were excited by the Dirac delta-functions at the
initial moment of time, c) one points were located relatively far from each other, d) the interference picture of two excitements in the Schrodinger-Galilean
metamedium (it has a dual diffusion coefficient).</p>
    </sec>
    <sec id="sec-6">
      <title>Acknowledgements References</title>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          [1]
          <string-name>
            <surname>Behera</surname>
            <given-names>L</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kar</surname>
            <given-names>I</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Elitzur</surname>
            <given-names>A</given-names>
          </string-name>
          .
          <article-title>Quantum Brain: A Recurrent Quantum Neural Network Model to Describe Eye Tracking of Moving Targets</article-title>
          ,
          <year>2000</year>
          . URL: http://arxiv.org
          <article-title>:q-bio/quant-ph/0407001v1.</article-title>
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          [2]
          <string-name>
            <surname>Nagasawa</surname>
            <given-names>M.</given-names>
          </string-name>
          <article-title>Schrodinger equations and diffusion theory</article-title>
          . Monographs in mathematics. Birkheauser Verlag, Basel, Switzerland,
          <year>1993</year>
          ;
          <volume>86</volume>
          : 238 p.
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          [3]
          <string-name>
            <surname>Lou</surname>
            <given-names>L</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Zhan</surname>
            <given-names>X</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Fu</surname>
            <given-names>Z</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ding</surname>
            <given-names>M.</given-names>
          </string-name>
          <article-title>Method of Boundary Extraction Based on Schrödinger Equation</article-title>
          .
          <source>Proceedings of the 21th Congress of the International Society for Photogrammetry and Remote Sensing</source>
          . Beijing,
          <year>China 2008</year>
          ;
          <article-title>B5(2</article-title>
          ):
          <fpage>813</fpage>
          -
          <lpage>816</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          [4]
          <string-name>
            <surname>Hagan</surname>
            <given-names>S</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Hameroff</surname>
            <given-names>SR</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Tuzyinski</surname>
            <given-names>JA</given-names>
          </string-name>
          .
          <article-title>Quantum Computation in Brain Microtubules</article-title>
          . Decoherence and
          <string-name>
            <given-names>Biological</given-names>
            <surname>Feasibility</surname>
          </string-name>
          ,
          <string-name>
            <surname>Physical Review</surname>
            <given-names>E</given-names>
          </string-name>
          ,
          <source>American Physical Society</source>
          <year>2002</year>
          ;
          <volume>65</volume>
          :
          <fpage>1</fpage>
          -
          <lpage>11</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          [5]
          <string-name>
            <surname>Perus</surname>
            <given-names>M</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Bischof</surname>
            <given-names>H</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Caulfield</surname>
            <given-names>J</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Loo</surname>
            <given-names>CK</given-names>
          </string-name>
          .
          <source>Quantum Implementable Selective Reconstruction of High Resolution Images. Applied Optics</source>
          <year>2004</year>
          ;
          <volume>43</volume>
          :
          <fpage>6134</fpage>
          -
          <lpage>6138</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          [6]
          <string-name>
            <given-names>Rigatos</given-names>
            <surname>GG</surname>
          </string-name>
          .
          <article-title>Quantum Wave-Packets in Fuzzy Automata and Neural Associative Memories</article-title>
          .
          <source>International Journal of Modern Physics C, World Scientific</source>
          <year>2007</year>
          ;
          <volume>18</volume>
          (
          <issue>9</issue>
          ):
          <fpage>209</fpage>
          -
          <lpage>221</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          [7]
          <string-name>
            <surname>Yaglom</surname>
            <given-names>I.</given-names>
          </string-name>
          <article-title>Complex numbers in geometry</article-title>
          . New York.: Academic press
          <year>1968</year>
          ;
          <volume>242</volume>
          :
          <fpage>203</fpage>
          -
          <lpage>205</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          [8]
          <string-name>
            <surname>Labunets</surname>
            <given-names>V.</given-names>
          </string-name>
          <string-name>
            <surname>Excitable</surname>
          </string-name>
          <article-title>Schrodinger metamedia</article-title>
          .
          <source>23rd Internation Crimean Conference. Microwave and Telecommunication Technology. Conference proceedings 2013; I:</source>
          <fpage>12</fpage>
          -
          <lpage>16</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          [9]
          <string-name>
            <surname>Wolfram</surname>
            <given-names>S.</given-names>
          </string-name>
          <article-title>Cellular automata as models of complexity. Reprinted from Nature</article-title>
          .
          <source>Macmillan Journals Ltd</source>
          <year>1985</year>
          ;
          <volume>311</volume>
          (
          <issue>5985</issue>
          ):
          <fpage>419</fpage>
          -
          <lpage>424</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          [10]
          <string-name>
            <surname>Obeid</surname>
            <given-names>I</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Morizio</surname>
            <given-names>J</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Moxon</surname>
            <given-names>K</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Nicolelis</surname>
            <given-names>MA</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Wolf</surname>
            <given-names>PD</given-names>
          </string-name>
          .
          <article-title>Two Multichannel Integrated Circuits for Neural Recording and Signal Processing</article-title>
          .
          <source>IEEE Trans Biomed. Eng</source>
          .
          <year>2003</year>
          ;
          <volume>50</volume>
          :
          <fpage>255</fpage>
          -
          <lpage>258</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          [11]
          <string-name>
            <surname>Harrison</surname>
            <given-names>R</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Watkins</surname>
            <given-names>P</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kier</surname>
            <given-names>R</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Lovejoy</surname>
            <given-names>R</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Black</surname>
            <given-names>D</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Normann</surname>
            <given-names>R</given-names>
          </string-name>
          , Solzbacher F.
          <article-title>A Low-Power Integrated Circuit for a Wireless 100-Electrode Neural Recording System</article-title>
          .
          <source>International Solid State Circuits Conference</source>
          <year>2006</year>
          ;
          <fpage>30</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          [12]
          <string-name>
            <surname>Ruedi</surname>
            <given-names>PF</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Heim</surname>
            <given-names>P</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kaess</surname>
            <given-names>F</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Grenet</surname>
            <given-names>E</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Heitger</surname>
            <given-names>F</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Burgi</surname>
            <given-names>P-Y</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gyger</surname>
            <given-names>S</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Nussbaum</surname>
            <given-names>P.</given-names>
          </string-name>
          <article-title>A 128 128, pixel 120-dB dynamic-range vision-sensor chip for image contrast and orientation extraction</article-title>
          .
          <source>IEEE J. Solid-State Circuits</source>
          <year>2003</year>
          ;
          <volume>38</volume>
          :
          <fpage>2325</fpage>
          -
          <lpage>2333</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          [13]
          <string-name>
            <surname>Lichtsteiner</surname>
            <given-names>P</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Posch</surname>
            <given-names>C</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Delbruck</surname>
            <given-names>T.</given-names>
          </string-name>
          <article-title>A 128 128 120 dB 30mW asynchronous vision sensor that responds to relative intensity change</article-title>
          .
          <source>IEEE J. Solid-State Circuits</source>
          <year>2008</year>
          ;
          <volume>43</volume>
          :
          <fpage>566</fpage>
          -
          <lpage>576</lpage>
          .
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>