<!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 />
    <article-meta>
      <title-group>
        <article-title>Development of a Method of Encoding a Significant Coordinate Brightness Component of a Video Image</article-title>
      </title-group>
      <contrib-group>
        <aff id="aff0">
          <label>0</label>
          <institution>Taras Shevchenko National University of Kyiv</institution>
          ,
          <addr-line>Kyiv</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
      </contrib-group>
      <fpage>0000</fpage>
      <lpage>0002</lpage>
      <abstract>
        <p>A method of encoding a significant coordinate luminance component of a video image based on its representation in the form of a structural position number with global and local inequality of values of neighboring elements has been developed. The distinguishing points are that it is taken into account; a two-hierarchical code-value formation scheme for a set of coherence areas after uneven subversion to exclude items with equal values; the value of the local sensitivity indicator that determines the floating number of significant elements of ОКГ. In this case, by eliminating prohibited sequences that allow the content of items with equal values (i.e., which is contrary to the rule of building meaningful areas of coherence), the structural elimination is achieved redundancy without making any additional mistakes.</p>
      </abstract>
      <kwd-group>
        <kwd>data</kwd>
        <kwd>image coding</kwd>
        <kwd>video processing</kwd>
        <kwd>telecommunication systems</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>Humanity actively uses digital photo-video technology not only to meet its own needs
for bright photo-gras and videos, but also to ensure the vitality of both individual and
small firms and large firms, and large associations of people, corporations, or-gan
(structures) of state power and the state as a whole (including its international
activities). Therefore, there have been frequent recent issues of ensuring the confidentiality
of digital images, both to protect personal data and to protect information in crisis
management systems of the defence, security and law enforcement sectors. At the
same time, crisis management systems need to address the current scientific problem
of increasing privacy at a given level of accessibility of video information that is
processed and transmitted using wireless telecommunications technologies in real time
without losing the integrity of the data [1-5].</p>
      <p>The problem is that increasing the privacy of video data (static and dynamic) leads to:</p>
      <p>─ On the one hand, to increase the time cost of processing and delivering data, i.e.
reducing its availability;</p>
      <p>─ On the other hand, reducing the amount of useful information (image quality) to
maintain a given speed, resulting in a decrease in credibility, i.e. loss of integrity [6].</p>
      <p>Accordingly, reducing the volume of video data in order to increase the
performance of information communication systems with the specified quality of video
service is a significant scientific and application task
2</p>
      <p>Method of Encoding Significant Coordinate- Brightness
Component of Video Image
Process of arrays coding G m(u,k) is proposed to carry out in the row direction. This
allows you to take into account not only restrictions on the amplitude values of the
significant elements of coherence areas, g1,1  w(g)1  gmax 1 but also local and global
restrictions on inequality of adjacent elements, g j  g , j,  1, k .</p>
      <p>It takes into account that according to the condition of the identification and
description of areas of video images regression coherence assumed that coherence areas
contains significant elements from the local sensitivity index position. Then there will be a
reduction in the level of visual assessments. Such distortions can propagate in the
reconstruction process within bounded area of the coherence. However, if such areas are
long, it is an option when such correction will be visually noticeable. It means that for
locating such consequences should be carried out subsequent processing of significant
elements of coherence area without inserting mistakes [7-11].</p>
      <p>For this approach, the process of forming the code description is proposed to
conduct on the basis of building code designs for position numbers.</p>
      <p>Building code description for the structural positional number of global and local
inequality of numbers arranged in two stages:
 the first step is to determine the code string describing G i , considering only
limitations on the dynamic range w(g) array elements G m(u,k) significant
coordinatebrightness component of the video;
 the second step is used to obtain a code description with additional consideration
of the limitation on the inequality of related elements in the rows G i .
3</p>
      <p>Building Code Designs for Positional Numbers
Coding position numbers as rows G i of arrays G m(u,k) it is set by the following
expression:</p>
      <p>
        k
E(g)i   gi, j Q(g) j
j1
(
        <xref ref-type="bibr" rid="ref1">1</xref>
        )
where Q(g) j - weight coefficient of j structural element of the position of Gk ;
gi, j - (i; j) element of array G m(u,k) ;
k - the number of elements in a row G i .
      </p>
      <p>Because the dynamic range for the array elements of a meaningful
coordinatebrightness component is equal to w(g) , so corresponding weight will be determined
by the equation:</p>
      <p>The resulting value E(g)i of code description of the structural positional number
G i will be calculated using following expression:</p>
      <p>During code value determination E(g)i for structural position ща numbers, taking
into account the global and local inequalities of related elements, it is necessary to
exclude all combinations that:
 first, precede the current (i.e. specific line G i );
 second, it contains at least one pair, for adjacent elements of which it is
necessary to exclude cases when adjacent elements will be equal to each other.</p>
      <p>Consider j step up the coding process of i row of array G m(u,k) , i.e. when the first
( j 1) Elements, gi, ,  1, j 1 is carried out. Here's the number  j untreated
items of the current row Gi , including j element, will be calculated by equation:
Q(g) j  w(g)k  j</p>
      <p>k
E(g)i   gi, j w(g)k  j</p>
      <p>j1
 j (k  j 1)</p>
      <p>
        Equation (
        <xref ref-type="bibr" rid="ref3">3</xref>
        ) allows to calculate the value of the code description E(g)i to row G i
array of a significant coordinate-brightness component without taking into account the
condition of inequality of neighboring elements. This condition is taken into account at
the second stage of ratio construction for code generation.
      </p>
      <p>In the second step, is additionally taken into account the condition of global and
local inequality of elements in the rows of the array G m(u,k) , i.e. g j  g , j,  1, k .</p>
      <p>
        In the case where the code value E(g)i calculated using equation (
        <xref ref-type="bibr" rid="ref2">2</xref>
        ), the permitted
string combinations G i array of significant elements of coherence area will be
sequences (strings) for which at least one pair of adjacent elements are allowed equality,
i.e. [12-14]:
gi, j  gi, j1
(
        <xref ref-type="bibr" rid="ref2">2</xref>
        )
(
        <xref ref-type="bibr" rid="ref3">3</xref>
        )
(
        <xref ref-type="bibr" rid="ref4">4</xref>
        )
(
        <xref ref-type="bibr" rid="ref5">5</xref>
        )
where k - is the length of the array string G m(u,k) of significant elements of the total of
the areas of coherence.
      </p>
      <p>At the same time, untreated items will be further treated as younger than previously
processed [15-17].</p>
      <p>To specify, enter a sequence G( j)i , which is part of the row G i , and consists from
 j elements of raw elements, i.e.:</p>
      <p>
        G( j)i {gi, j ;...; gi, ;...; gi,k }   j , k
(
        <xref ref-type="bibr" rid="ref6">6</xref>
        )
      </p>
      <p>Next, the sequence will be considered to obtain the weighting value. G( j)i from
two aspects.</p>
      <p>The first aspect is to determine the quantity Q(gi, j1) valid sequences but which
begin with an element gi , j1 . And here the number of prohibited elements, i.e. for
which equality of values is performed, on j to position it will be equal 1. While for the
others ( j 1) elements of the dynamic range limit and the inequality of the values of
related elements will be met. Then, because by the condition of coding the associate
( j 1) elements are elements of a structural positional number G i with a dynamic
range equal to w(g) , that number Q(gi , j1) such acceptable numbers are found using
an equation:</p>
      <p>Q(gi, j1)  1(w(g) 1)k j
where (w(g) 1)k j is number of sequences (length equal ( j 1) ), elements that
meet the limitations of dynamic range and the inequality of neighboring elements.</p>
      <p>With the second aspect, consider the number of forbidden sequences that precede
current. here, the value Q(gi , j1) also allows you to determine the number of
Q(gi, j  gi, j1) of forbidden sequences, composed of  j elements preceding the
encoded sequence G( j)i , gi, j - auxiliary element preceding sequence.</p>
      <p>In view of that, we find that the condition gi, j  gi, j1 perhaps then and only when
the ratio is performed next inequality:</p>
      <p>gi, j1  gi, j</p>
      <p>
        Then, after generalization and considering equation (
        <xref ref-type="bibr" rid="ref7">7</xref>
        ) and inequality (
        <xref ref-type="bibr" rid="ref8">8</xref>
        ), quantity
Q(g)i( j) permissible sequences that precede G( j)i will be determined by the
following system of expressions:
(
        <xref ref-type="bibr" rid="ref7">7</xref>
        )
(
        <xref ref-type="bibr" rid="ref8">8</xref>
        )
gi, j (w(g) 1)(k  j)  (w(g) 1)k  j ,  gi, j1  gi, j ;
Q(g)i( j)  
      </p>
      <p>
        gi, j (w(g) 1)(k  j) ,  gi, j 1  gi, j ,
Or according to the equation (
        <xref ref-type="bibr" rid="ref7">7</xref>
        ) for value Q(gi, j  gi, j1) :
      </p>
      <p>gi, j (w(g)  1)(k  j)  (w(g)  1)k  j ,  gi, j1  gi, j ;
Q(g)i( j)  </p>
      <p>gi, j (w(g)  1)(k  j) ,  gi, j1  gi, j ,
where gi, j (w(g )  1)(k  j) is total number of sequences (length equal to  j ), for all
the elements of which, except j , limits on dynamic range and on the inequality of
neighboring elements.</p>
      <p>Using the relationship to calculate the string code value G i significant elements of
the array of coherent regarded as structural positional number of global and local
inequality between the values of adjacent elements such kind will be given by following
equation:</p>
      <p>k
E(g )i   Q(g )i( j)</p>
      <p>j 1
g0  w(g)</p>
      <p>In the initial processing step for an element g1,1 as a prior element g0 Value w(g)
is chosen, equal to the dynamic range of an array of significant coordinate-brightness
component, i.e..</p>
      <p>
        This choice is due to the fact that, first, the values of the elements preceding the
element are not restricted to the zero element. Second, the choice of condition (
        <xref ref-type="bibr" rid="ref11">11</xref>
        ) allows
to meet the conditions of inequality g0  w(g)  g1,1 .
      </p>
      <p>The resulting code value E(g)i has a two-hierarchical structure. This is because it
is formed for several areas of coherence (the upper level of the hierarchy), each of
which in turn is described by several significant elements (lower level of hierarchy).
Moreover, the number of such elements is determined by the indicator  (loc) of local
sensitivity. Then the code value E( (loc) ; g)i from the position of the two hierarchies
and the dependence on the size of the  (loc) , can be determined by following
equation:</p>
      <p>
         ok R
E( (loc) ; g)i   Q( (loc) ; g)i(,r)
Here  ok - the number of significant regions of coherence in row;
(
        <xref ref-type="bibr" rid="ref9">9</xref>
        )
(
        <xref ref-type="bibr" rid="ref10">10</xref>
        )
(
        <xref ref-type="bibr" rid="ref10">10</xref>
        )
(
        <xref ref-type="bibr" rid="ref11">11</xref>
        )
R - the number of significant elements in 
coherence area;
      </p>
      <p>Q( (loc); g)i(,r) - weight coefficient for (  r) significant element  areas of
coherence, structured in i row of array G m(u,k) .</p>
      <p>Then, after summarizing the number of Q(g)i( j) permissible sequences of previous
G( j)i will be determined by the following system of expressions:


( x(i) , 1) (w(g ) 1)


Q( (loc) ; g )i(,r)  


( x(i) , r 1) (w( g ) 1)


 x(i) 1, R 11  x(i) , &amp; r  0;</p>
      <p> 1
(k  r  R )</p>
      <p> 1
 x(i) , r1  x(i) , r &amp; r  1;</p>
      <p> 1
(k  r  R )
 1
,</p>
      <p>
        ,
x(i) , (w(g ) 1) (k  r 11R ) ,

 x(i) 1, R 11  x(i) , &amp; r  0;
Q( (loc) ; g ) i(,r)  
x(i) , r (w( g ) 1) (k  r 11R ) ,
 x(i) , r 1  x(i) , r &amp; r  1.
(
        <xref ref-type="bibr" rid="ref13">13</xref>
        )
(
        <xref ref-type="bibr" rid="ref14">14</xref>
        )
      </p>
      <p>Here x(i), r - (  r) significant element of the sequence Х ( ) (areas of
coherence) structured in i row of array G m(u,k) ;
R - the number of elements in the sequence Х ( ) ;
r - variable index, r  0, R 1 ;
 1
 R - the total number of significant elements in ( 1) coherence areas.
 1</p>
      <p>Base code value E((loc); g)i for incremental (filled) code construction Z(g; R)u
forming an array row element G(mu,)k , which in turn are interpreted as structural
positional numbers with global and local values of neighboring elements inequality. In
general, the value of E((loc) ; g)i defined by a two-hierarchical scheme using the
following ratio system:
─ for the condition x(i)1, R 11  x(i),  :
─ for the condition x(i)1, R11  x(i),  :</p>
      <p>
ok R (x(i), 1) (w(g) 1)
E( (loc) ; g)i    
 1 r1 
(x(i), r 1) (w(g) 1)</p>
      <p> 1
(k r R )
1
 1
(k r R )
1
,  r  0;
,  r  1;

 ok R x(i), (w(g)  1)
E( (loc) ; g)i    
 1 r1 
x(i), r (w(g)  1)
(k  r1 R )</p>
      <p> 1
(k  r1 R )
 1
,  r  0;
,  r  1.</p>
      <p>V (g)i  Vnec
V  Vnec  V (g)i  0</p>
      <p>According to the fourth methodological basis for the code description of the
magnitude E((loc); g)i used a uniform number of bits equal to the Vnec . As a result, we
obtain the expression for the value V(g)i :</p>
      <p>
        V(g)i [k og2(w(g) 1)]1
In the general case is carried out the following inequality:
(
        <xref ref-type="bibr" rid="ref16">16</xref>
        )
(
        <xref ref-type="bibr" rid="ref17">17</xref>
        )
(
        <xref ref-type="bibr" rid="ref18">18</xref>
        )
(
        <xref ref-type="bibr" rid="ref19">19</xref>
        )
      </p>
      <p>Then a number of V code redundancy, and accordingly there are older bits of
code description that have a non-zero value, i.e.:</p>
      <p>In some cases, when the  (loc) sensitivity is chosen equal:
-  (loc)  0 , we get that there are no insignificant elements, and all elements of the
identified area of coherence are received for processing. Here, psychovisual
redundancy is not reduced;</p>
      <p>-  (loc)   (glob) , indicators of global and local sensitivity are aligned. In this
case, the entire coherence area is approximated by a single value, such as the average</p>
      <p>R 1
x , x  (  x , r ) / R . In particular cases, namely when the sensitivity index is
r0
equal to:</p>
      <p>-  (loc)  0 , Obtaining that the number of minor elements is not present, and all
elements of the detected coherence region are processed. Here psycho-mental
redundancy does not shrink;</p>
      <p>-  (loc)   (glob) , That is, global and local sensitivity measures are aligned. In
this case, the entire coherence region is approximated by a single value, for example,</p>
      <p>
        R 1
an average value of x , x  (  x , r ) / R . Accordingly, the formation of the
r0
code value E( (loc); g)i will be carried out on the same level of hierarchy. Equations
(
        <xref ref-type="bibr" rid="ref12">12</xref>
        ) (
        <xref ref-type="bibr" rid="ref13">13</xref>
        ) will take that look:
      </p>
      <p>E( (loc) ; g)i </p>
      <p>Q( (loc) ; g)i( )
 ok n

 1
(x(i) 1) (w(g) 1)n  ,
Q( (loc) ; g)i( )  
x(i) (w(g) 1)(k  ) ,
 x(i) 1  x(i) ;
 x(i) 1  x(i) .</p>
      <p>
        (
        <xref ref-type="bibr" rid="ref20">20</xref>
        )
(
        <xref ref-type="bibr" rid="ref21">21</xref>
        )
      </p>
      <p>For this option, the largest decrease in bit volume is achieved on the one hand, but
on the other hand the greatest decrease in the level of visual assessment is achieved.</p>
      <p>
        In case of proceeding of all array G m(u,k) of significant elements of coherence areas,
i.e. the formation of code values for all its lines based on the ratio (
        <xref ref-type="bibr" rid="ref10">10</xref>
        ), forming a
sequence E(u) of code values, namely:
      </p>
      <p>E(u)  {E( (loc); g)1;...; E( (loc); g)i;...; E( (loc); g)m} .</p>
      <p>
        So, expressions (
        <xref ref-type="bibr" rid="ref9">9</xref>
        ) – (
        <xref ref-type="bibr" rid="ref10">10</xref>
        ) provide code values for rows of an array of significant
coordination-brightness components of the video, which are structural positional
numbers with global and local properties of inequality between the values of
neighboring elements. In this case, by excluding prohibited sequences that allow the
content of elements with equal values (that is, contrary to the rule of building significant
areas of coherence), structural redundancy is eliminated without adding additional
errors. This is done even in cases where the values of the unobstructed coherent areas
of elements tend to the level of the upper amplitude value, i.e.: gi, j  w(g) [18-23].
Conclusions
A method of encoding a significant coordinate brightness component of a video
image based on its representation in the form of a structural position number with global
and local inequality of values of neighboring elements has been developed. The
distinguishing points are that it is taken into account; a two-hierarchical code-value
formation scheme for a set of coherence areas after uneven subversion to exclude items
with equal values; the value of the local sensitivity indicator that determines the
floating number of significant elements of coherence area [24-26]. In this case, by
eliminating prohibited sequences that allow the content of items with equal values (i.e.,
which is contrary to the rule of building meaningful areas of coherence), the structural
elimination is achieved redundancy without making any additional mistakes. At the
same time, this processing ensures that the level of visual assessment is maintained.
The ratio for estimating the top level of the number of bits, which is spent on the
representation of the code value of the line of the array of a significant
coordinatebrightness component of the video [27-28].
      </p>
    </sec>
  </body>
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