“Digital
Signal Processing” No. 32012
DIGITAL
IMAGE PROCESSING
Topical issue:
 coding and compression;
 motion compensation;
 texture segmentation;
 image fusion;
 quality analysis / improvement;
 subpixel classification;
 image processing using GPUs.


S.V. Umnyashkin, I.O. Sharonov
Using Hexagonal Blocks to Compensate Motion in Videocompression
Motion compensation algorithm based on hexagonal blocks in application
to compress video sequences is considered. To compress difference image
being obtained after motion compensation SPIHT algorithm based on discrete
wavelet transformation (DWT) is used. The experiments show that using
hexagonal blocks in motion compensation enables to increase PSNR of processed
video sequences by 0.15 on the average.
S.V. Umnyashkin, email: vrinf@miee.ru
I.O. Sharonov, email: igor.sharonov@gmail.com
Yu.S. Radchenko, S.V. Milyaev
On Spectral Coefficient Correlation for Generalized Fourie Series
in Discrete Space
Correlation coefficient
for discrete cosine transform, integer cosine transform, Chebyshev discrete
transform coefficients within one image block and between neighbor blocks
is estimated. Standardized coefficient relations for intra and interblock
correlation of spectral coefficients to correlation distance is analyzed.
Chebyshev discrete transform is proved to provide greater coefficient
decorrelation as compared to discrete cosine transformation. The results
obtained were proved by estimating spectral mode correlation on a real
image.
Yu.S. Radchenko, email: ysradchenko@yandex.ru
S.V. Milyaev, email: sergey.milyaev@mail.ru
D.A. Matsypaev, A.G. Bronevich
Fuzzy Parameterized Model for Classifying Blocks of NonBinary
Motion Mask
The problem of detecting moving objects in video stream is solved. The
algorithm to detect moving objects using a nonbinary motion mask is proposed.
Nonbinary motion mask being divided into rectangular blocks, the appropriate
statistic value averaging the motion measure within the block is estimated
for each block. To analyze a distribution function for block statistic
values a parameterized mathematical model of moving and stationary blocks
is considered. Using the above model, block membership functions are introduced.
A criterion for clear discrimination between moving and stationary blocks
is proposed. Characteristics to estimate a confidence degree for the results
obtained are introduced.
D.A. Matsypaev, email: dmitry.matsypaev@gmail.com
A.G. Bronevich, email: brone@mail.ru
E.I. Minakov, P.S. Seregin
Comparative Analysis for Parallel Image Reconstruction Methods in Magnetic
Resonance Tomography
Comparative analysis of simulationbased methods for parallel image reconstruction
in magnetic resonance tomography (MRT) is performed. A possibility of
regularizing a parallel image reconstruction method in MRT by a compressed
sensing method is considered. Special attention is paid to researching
SPACERIP method regularization. In addition, the paper presents a comparative
analysis for parallel reconstruction methods and other regularization
methods, SVDbased (singular value decomposition) regularization method
in particular.
E.I. Minakov, email: mrttula@yandex.ru
B.A.Alpatov, V.S. Muraviev, V.V. Strotov, A.B. Feldman
Researching the Effective Use of Image Analysis Algorithms in Unmanned
Aircraft Navigation
Research results studying possible use of SIFT and ORB image analysis
algorithms in the problem of unmanned aircraft navigation are considered.
The research is performed using a dedicated software for simulating onboard
video receiving conditions, estimating navigation parameters, calculating
effectiveness criteria for image analysis algorithms.
V.S. Muraviev, email: aitu@rsreu.ru
V.V. Strotov, email: aitu@rsreu.ru
A.B. Feldman, email: aitu@rsreu.ru
V.V. Eremeev, A.A. Makarenkov, A.E. Moskvitin, A.A. Yudakov
Improving
Object Readability on Hyperspectral Imagery of the Earth’s Surface
Hyperspectral image fusion to form new images with all welldefined objects
is considered. Processing results of hyperspectral data are presented.
V.V. Eremeev, email: foton@rsreu.ru
N.A. Egoshkin, V.V. Eremeev, A.E. Moskvitin
Image Fusion from Photodetector Lines in Case of Geometric Distortions
Models and algorithms for image fusion from subpixel shifted photodetector
lines to increase spatial and radiometric energy resolution in case of
geometric distortions for a scene observed.
N.A. Egoshkin, email: foton@rsreu.ru
V.V. Eremeev, email: foton@rsreu.ru
A.M.Kochergin, A.E.Kuznetsov, V.I. Pobaruev, A.S. Shokol
Technique of Visual Geodesic Orientation for Space Images of the Earth’s
Surface
Technique of visual geodesic orientation for space images of the Earth’s
surface and a mathematical model it is based on are considered.
A.M.Kochergin, email: foton@rsreu.ru
A.S. Shokol, email: ntsomz@ ntsomz.ru
R.V. Tishkin,
A.A. Yudakov
Subpixel Classification of Objects on Space Hyperspectral Images
Various approaches to solve the problems of subpixel classification for
objects hyperspectral space images are considered. To solve the above
problem fuzzy logicbased algorithms are proposed to be used.
R.V. Tishkin, email: roman.tishkin@mail.ru
A.A. Yudakov, email: antonyudakov@yandex.ru
E.P. Petrov, N.L. Kharina, V.F. Kharyushin
Mathematical Models and Algorithms for Filtering Digital HalfTone Images
Based on Markov Complex Chains
Mathematical model (MM) for digital halftone image based on Markov
complex chain of m^{th} order is obtained. The model is based
on an entropy approach and a principle of superposition for m Markov simple
chains. Using MM and a theory for filtering Markov casual processes, algorithms
for nonlinear filtering are synthesized.
E.P. Petrov, email: eppetrov@mail.ru
N.L. Kharina, email: natal_res@mail.ru
V.F. Kharyushin, email: vladimir_vgu@mail.ru
A.M. Tolochko, A.A. Boriskevich
Method of Fast LBPFeature Computation for Video Image ROI
A method of fast
LBPfeature computation for the image based on forming a regular computation
structure primitive, defining a mutuality property of threshold and modified
threshold functions determining comparison rules for pixels in local neighborhood
as well as rules for updating LBPfeatures is proposed. This method enables
to increase a computation rate at about 66 to 72% for rotation invariant
LBPfeature with 3x3 primitive as compared to a traditional method due
to reducing a specific amount of comparison operations and pixels used
for LBPfeature computation.
A.M. Tolochko, email: aljaksandr@gmail.com
A.A. Boriskevich, email: anbor@bsuir.by
A.L. Zhiznyakov, D.G. Privezentsev
Using SelfSimilarity Distribution Character as Digital Image Sign in
Classification Task
Property of digital image selfsimilarity is described. New image
signs characterizing the internal selfsimilarity distribution and the
most similar image areas are proposed. The algorithm to form fractal image
signs is described, i.e. characteristic image areas and selfsimilarity
distribution character. Research results for possible use of selfsimilarity
distribution in classifying images are given.
A.L. Zhiznyakov, email: lvovich@newmail.ru
D.G. Privezentsev, email: dgprivezencev@mail.ru
A.Yu. Panteleev
Digital Signal Processing on Modern GPUs
Basic algorithms for digital signal processing (DSP) realized on graphic
processor units (GPUs) are considered, i.e. fast Fourie transformation
(FFT), convolution, correlation, matrixvector multiplication. Performance
limiting factors are specified for each algorithm. In most cases the performance
is limited by memory bandwidth rather than computation capabilities of
the units. Examples of using graphic processors in DSP systems are given.
A.Yu. Panteleev, email: apanteleev87@gmail.com
E.V. Medvedeva,
E.E. Kurbatova
Method
of Texture Image Segmentation Based on Markov Casual Fields
Method of texture
segmentation for digital halftone images (DHI) based on 2D Markov chains
is proposed. Estimating the probability of transition between image elements
is used as a texture sign. The method is effective in detecting texture
areas with various statistical characteristics. It reduces computational
resources as well.
E.V. Medvedeva, email: emedv@mail.ru
E.E. Kurbatova, email: kurbatovae@gmail.com
If
you have any question please write: info@dspa.ru
