Mikhail Zriakhov

KhAI - Aerospace university

Compression is a typical operation applied in image processing. Lossy compression is widely used although it introduces distortions that might lead to degradation of image visual quality. Then, introduced distortions have to be controlled at compression stage to provide visually lossless compression or appropriate quality according to adequate metr...

Анализируется зависимость среднеквадратической ошибки (СКОш) искажений, вносимых при сжатии изображений с потерями от шага квантования для современного кодера на основе дискретного косинусного преобразования (ДКП) и схемы разбиения. Показывается, что поведение зависимости определяется как степенью сложности (насыщенностью) изображения, так и характ...

Amount of remote sensing data rapidly increases. To transfer, store, and disseminate images, one has to apply compression. Lossless compression often does not satisfy requirements. In turn, lossy compression introduces distortions where their level should be controlled not to lose value of remote sensing data. In this paper, we propose a way to acc...

This article is devoted to improving previously developed texture classifier that performs on noisy images. The basic principle of this classifier is to join several simple local parameters using some fuzzy logic system (support vector machine or neural network). It is shown that aggregating procedure applied on the classifier’s input can result in...

Обоснована актуальность задачи обнаружения текстурных участков на изображениях. Предложена модификация метода обнаружения текстурных участков с помощью SVM-классификатора для изображений, на которых присутствует достаточно интенсивный аддитивный белый гауссов шум, при помощи агрегации входных параметров. Описана модифицированная процедура обучения...

Several approaches to prediction image denoising efficiency for DCT�based filter have been proposed recently. They allow predicting improvement of PSNR (IPSNR) and visual quality metrics as PSNR�HVS�M (IPHVS) for denoised images under condition of noise characteristics known or pre�estimated in advance. Here we apply the prediction approach to pre�...

The paper deals with review of the main technologies of wireless access that are used in modern wireless sensor networks (WSN). Comparative analysis of access technologies for the most important parameters is provided. Main advantages and disadvantages for applying these technologies in WSN are reviewed.

In proposed work was carried out overview and analysis of existing technologies for the realization of self-organizing networks. We reviewed routing protocols who used in ad-hoc and mesh networks. Were proposed recommendations to increase efficiency of their work.

It is shown that images can be subject to lossy compression in such a way that introduced distortions are not visible. For this purpose, two modern visual quality metrics, MSSIM and PSNR-HVS-M, can be used. Their values are to be provided not less than 0.99 and 40 dB, respectively, and the corresponding lossy compression is to be carried out. Attai...

Compression of images corrupted by multiplicative noise is characterized by some specific features. First, lossy image compression is preferable since lossless coding is ineffective. Second, in case of lossy compression, quality of a compressed noisy image evaluated with respect to noise-free one can become better than the corresponding quality of...

Lossy compression of images corrupted by mixed Poisson and additive Gaussian noise is considered. Peculiarities of noise filtering effects observed for two approaches to image compression are studied. This is first done for specially created artificial image and, then, for two standard test images. It is shown that the standard (direct) approach to...

In many modern applications, methods and algorithms used for image processing require a priori knowledge or estimates of noise type and its characteristics. Noise type and basic parameters can be sometimes known in advance or determined in an interactive manner. However, it occurs more and more often that they should be estimated in a blind manner....

It is shown that images can be subject to lossy compression in such a way that introduced distortions are not visible. For this purpose, two modern visual quality metrics, MSSIM and PSNR-HVS-M, can be used. Their values are to be provided not less than 0.99 and 40 dB, respectively, and the corresponding lossy compression is to be carried out. Attai...

An improved method for the lossy compression of the AVIRIS hyperspectral images is proposed. It is automatic and presumes blind estimation of the noise standard deviation in component images, their scaling (normalization) and grouping. A 3D DCT based coder is then applied to each group to carry out both the spectral and the spatial decorrelation of...

In this paper we design and study an automatic approach to lossy compression of AVIRIS hyperspectral data. This approach takes into account the statistical characteristics of noise in component images as well as the considerable inter-channel correlation of data. An automatic method to estimate the noise variance in component images is proposed, an...

Lossy compression of images corrupted by mixed Poisson and additive Gaussian noise is considered. Peculiarities of noise filtering effects observed for two approaches to image compression are studied. This is first done for specially created artificial image and, then, for two standard test images. It is shown that the standard (direct) approach to...

Lossy compression of images corrupted by Poisson noise is considered. Peculiarities on noisy images are discussed. An automatic approach in selection of a parameter that controls compression ratio (CR) is proposed. It is demonstrated how to reach optimal operation point (OOP), i.e., such CR that provides minimal peak signal-to noise ratio (PSNR) ca...

Two automatic approaches to lossy compression of hyperspectral AVIRIS images are proposed and considered. A first approach (strategy) is to filter images on-board and then to transfer compressed. A second strategy assumes that image filtering is performed on-land applied to decompressed data. In both cases, blind evaluation of noise variance is car...

A task of lossy compression of noisy images providing ac- cessible quality is considered. By accessible quality we mean minimal distortions of a compressed image with re- spect to the corresponding noise-free image that are ob- served for the case of optimal operation point (OOP). The ways of reaching OOP for noisy images are discussed. It is shown...

Hyperspectral images formed by AVIRIS imager are often compressed for data transmission and storage. For this purpose, both lossless and lossy compression methods can be used, but the latter are able to provide considerably larger compression ratios. Lossy compression can be done effectively in automatic manner with grouping of sub-bands and settin...

We propose and analyze a novel efficient technique for lossy compression of multichannel ECG records that provides a reasonable trade-off between distortions introduced and compression ratio provided. This technique exploits inter-channel correlation of signals in cardio-complex leads by means of using a 2-D DCT and special operations of data pre-p...

Lossy compression of AVIRIS hyperspectral images is considered. An automatic approach to selection of compression parameters depending on noise characteristics in component images is proposed. Several ways of performing lossy compression are discussed and compared. It is shown that in order to minimize distortions and provide a sufficient compressi...

Исследована задача сжатия многоканальных изображений системы AVIRIS. Рассмотрены возможные варианты процедур сжатия, соответствующие различным практическим ситуациям, в частности, сжатие с предварительной фильтрацией и сжатие с постобработкой. Даны рекомендации по автоматическому вы-бору параметров сжатия. Показана целесообразность оценки дисперсии...

Рассмотрены особенности формирования изображений, требования, предъявляемые к сжатию изображе-ний с потерями. Проведен подробный анализ эффективности сжатия зашумленных изображений. Показано, что помехи различного рода понижают эффективность вторичной обработки (сжатия), применяе-мой к изображению. Рассмотрен вопрос об автоматизации сжатия отфильтр...

It is often necessary to compress remote sensing (RS) data such as optical or radar images. This is needed for transmitting them via communication channels from satellites and/or for storing in databases for later analysis of, for instance, scene temporal changes. Such images are generally corrupted by noise and this factor should be taken into acc...

Compression of images corrupted by multiplicative noise is characterized by some specific features. First, lossy image compression is preferable since lossless coding is ineffective. Second, in case of lossy compression, quality of a compressed noisy image evaluated with respect to noise-free one can become better than the corresponding quality of...

The need to perform analysis and processing hyperspectral images registered by AVIRIS imager is stated. AVIRIS system basic characteristics are briefly discussed. Then, novel approaches and robust methods for estimation of noise variance and signal-to-noise ratios in band images are proposed. Using them, real life sets of AVIRIS images are analyzed...

Lossy compression of noise-free and noisy images differs from each other. While in the first case image quality is decreasing with an increase of compression ratio, in the second case coding image quality evaluated with respect to a noise-free image can be improved for some range of compression ratios. This paper is devoted to the problem of lossy...