Vladimir Vasilyevich Lukin

KhAI - Aerospace university · Information-Communication Technologies (earlier Transmitters, Receivers and Signal Processing)

This chapter contains the results obtained during execution of Ukrainian-Polish Project in 2021 intended on design of methods and means for processing grayscale and multichannel images and video using visual quality metrics. The combined metrics have been designed and tested for remote sensing images as well as stitched panoramic images. Examples o...

In this chapter, a task of providing a desired compression ratio (CR) is considered for lossy compression of color images by better portable graphics (BPG) encoder. This encoder is characterized by many benefits compared to other modern encoders according to rate-distortion performance and some other important facilities. However, the produced CR f...

Remote sensing image compression plays an important role in Earth observation applications. Lossy compression techniques are efficient means to reduce the size of images, although the distortions are unavoidable. Consequently, the image quality should be controlled carefully. This paper discusses this topic with its application to JPEG. Using visua...

Characterization of remote sensing (RS) sensors noise is important for optimization and analysis of potential accuracy of subsequent image processing stages (such as filtering or compression, image registration accuracy or objects classification). Blind noise parameters estimation (BNPE) allows analyzing sensor noise directly from noisy images. BNP...

Image denoising (filtering) is one of the most important procedures in image pre-processing chain. The aim of applying denoising is to reduce the noise while preserving image details and features. However, in practice, there are quite many cases when image denoising can lead to degradation of image quality which affects further thematic (high-level...

This chapter considers the lossy compression of three-channel images corrupted by additive white Gaussian noise. The better portable graphics (BPG) encoder that has three different operation modes is studied. As for other encoders, a noise filtering effect is observed and it influences the encoder performance. For certain conditions (image complexi...

The chapter describes the ways to design combined metrics and discusses several areas of their possible applications

Medical images are frequently large in size and can be distorted by noise, leading to long transfer times and potentially negative outcomes for patients. To address this, medical image files must be compressed, but the presence of noise must be considered when evaluating compression efficiency. This study compares the effects of additive white Gaus...

Green computing is a popular trend nowadays. In this paper, we show a way to incorporate this tendency in lossy image compression by an efficient coder based on discrete cosine transform. We study the case when it is desired to provide distortions characterized by mean square error not worse than a given threshold. In opposite to two-step and itera...

Remote sensing image compression plays an important role in Earth observation applications due to limitations of on-board data storage and downlink communication bandwidth. Lossy compression techniques are efficient means to reduce the size of images to reach high compression ratio. However, the distortions are unavoidable, which can affect value o...

High blood pressure (BP) or hypertension is an extremely common and dangerous condition affecting more than 18-27 % of the world population. It causes many cardiovascular diseases that kill 7.6 million people around the world per year. The most accurate way to detect hypertension is ambulatory monitoring of blood pressure lasting up to 24 h and eve...

The chapter considers some aspects of processing multichannel remote sensing images using trained neural networks

Lossy image compression is used in many applications including remote sensing. Image size and number increase and this often leads to the necessity to apply image compression. In lossy compression, it is assumed that rate-distortion curves are monotonous functions and this assumption is put into basis of compression control. However, it has been sh...

Метою українсько-французького проекту в рамках програми «Дніпро», що виконувався в 2021 році (саме його результати викладені у даному розділі), була розробка методів та алгоритмів ефективної обробки зображень на основі машинного навчання та інших сучасних засобів для багатоканальних даних дистанційного зондування. Дослідження знаходяться на перетин...

This is the presentation (in Ukrainian) of the report given at the Conference "НАУКОЄМНІ ТЕХНОЛОГІЇ В ІНФОКОМУНІКАЦІЯХ"

This paper presents an investigation into the visually lossless JPEG compression which provides maximum compression ratio applied before the resulting compressed image appears distorted. The research was conducted using two publicly available databases with the results of just noticeable difference tests. It has been shown that using visually lossl...

Since the number of acquired images and their size have the tendency to increase, their lossy compression is widely applied for their storage, transfer, and dissemination. Simultaneously with providing a relatively large compression ratio, lossy compression produces distortions that are inevitably introduced and have to be controlled. The propertie...

Unmanned aerial vehicle (UAV) imaging is a dynamically developing field, where the effectiveness of imaging applications highly depends on quality of the acquired images. No-reference image quality assessment is widely used for quality control and image processing management. However, there is a lack of accuracy and adequacy of existing quality met...

This paper addresses the task of time delay and direction of arrival estimation for a source of the wideband signal using two sensors with fixed displacement. The peculiarity of the task statement is that a limited time of signal observation is supposed and additive noise is assumed non-Gaussian with a heavy-tail distribution. This leads to a high...

Remote sensing provides data (images) important for many modern applications. Image number and average size tend to increase. This makes their transfer via communication lines, storage, and dissemination problematic. Thus, compression should be applied where lossy compression is mostly used. Most methods of lossy compression assume that images do n...

The reliability of remote sensing data classification is significantly affected by the quality of images and the efficiency of algorithms and methods used at all stages of their processing. At the same time, the complementarity of satellite data and the results of aerial photography from UAVs opens up wide opportunities for their joint use in order...

A task of time delay estimation for interferometric antennas for wideband signals embedded in Gaussian noise is classical. However, in practice, there are several factors that make its solving problematic including the non-Gaussian nature of the additive noise, low signal-to-noise ratio, limited time of signal registration, source motion, restricti...

An increase in the number of images and their average size is the general trend nowadays. This increase leads to certain problems with data storage and transfer via communication lines. A common way to solve this problem is to apply lossy compression that provides sufficiently larger compression ratios compared to lossless compression approaches. H...

Nowadays, there is a clear trend toward increasing the number of remote-sensing images ac-quired and their average size. This leads to the need to compress the images for storage, dissemi-nation, and transfer over communication lines where lossy compression techniques are more pop-ular. The images to be compressed or some of their components are of...

Remote sensing data are widely used in numerous applications. A conventional task solved using remote sensing images is their classification. The classification maps are commonly produced by some pre-trained classifiers applied either to uncompressed or compressed images where lossy compression is often needed and employed in practice due to the ne...

SALIENCY MAP IN IMAGE VISUAL QUALITY ASSESSMENT AND PROCESSING Images are mainly viewed and analyzed by humans. Because of this, in the characterization of image quality and effectiveness of image processing, it is necessary to take into account the peculiarities of the human vision system and cognition that are very complex. Saliency maps as well...

Анализ проводится для кодера AGU, основанного на ДКП. Показывается, что имеется возможность прогнозировать пиковое отношение сигнал-шум и улучшение или ухудшение метрики визуального качества при разных параметрах сжатия (значениях шага квантования). Также можно прогнозировать коэффициент сжатия. Наличие этих возможностей позволяет выбрать параметры...

The possibility of overcoming some hardware limitations resulting in low quality of terahertz images is considered. The set of images obtained at different distances from the source of terahertz radiation at frequency 0.1 THz is studied. It is shown that the noise in these images is of mixed type and has quite high level of spatial correlation. A f...

An expansion of the use of UAV images requires the improvement of methods and means for image analysis and processing in order to effectively solve various problems. Visual quality metrics play a key role in this sense, since their use allows determining the need in different image processing operations, their type and parameters, automating the en...

In this paper, we consider a task of providing a desired compression ratio (CR) in lossy compression of color images by better portable graphics (BPG) encoder. The problem consists in the fact that this encoder, on the one hand, produces certain benefits compared to other modern image compression techniques in the sense of better quality for the sa...

Image lossy compression is currently widely employed in different fields. Compared to lossless compression, it allows providing a considerably larger compression ratio but distortions are introduced inevitably. Properties of these distortions depend on a used coder, an image subject to compression, and compression parameters. Distortions affect vis...

The present study addresses the issue of automatic analysis and noise reduction in dental X-ray images obtained through the Morita system. These images are characterized by spatially correlated noise with an unknown spectrum and varying standard deviation across different regions of the image. To address this issue, we propose the utilization of tw...

Single and three-channel images are widely used in numerous applications. Due to the increasing volume of such data, they must be compressed where lossy compression offers more opportunities. Usually, it is supposed that, for a given image, a larger compression ratio leads to worse quality of the compressed image according to all quality metrics. T...

This article is devoted to the analysis and processing of signals of inertial measuring modules used as part of inertial navigation systems or in research measuring complexes for conducting shock tests. The modules have a set of sensors for measuring the speed of the object, its orientation in space, the gravitational forces with which it moves, as...

Unmanned aerial vehicle (UAV) imaging is a dynamically developing field, where theeffectiveness of imaging applications highly depends on quality of the acquired images. No-reference image quality assessment is widely used for quality control and image processingmanagement. However, there is a lack of accuracy and adequacy of existing quality metri...

In this talk, investigation results on a comparison of discrete atomic transform to discrete cosine transform in terms of image compression, data representation and complexity analysis are presented.

Due to certain hardware limitations the quality of terahertz images is often lower than desired, which makes it difficult to extract valuable information from them. The goal of this paper is to investigate possibilities to overcome some of these limitations by means of digital image processing. The research is held on a set of images obtained at di...

Digital images are a type of data that has many applications. There are many constructive tools for their analysis and processing. In particular, various discrete transforms are used in order to get useful data features. Here, discrete atomic transform (DAT) and discrete cosine transform (DCT), which are discrete data transforms based, respectively...

This chapter focuses on lossy compression of noisy images. In opposite to lossy compression of noise-free images, there are some peculiarities relating to noise filtering effect and analysis of compression technique performance. As a result of specific noise filtering, the so-called optimal operation point (OOP) may exist. OOP is related to such pa...

This is the report given by Benoit Vozel at Vaader Seminar at University of Rennes 1, Lannion, France

This is the presentation given at 2022 International Conference on the Cooperation and Integration and Integration of Industry, Eduation, Research and Application (Nanchang, China)

Abstract—The results of verification of the method for predicting the classification accuracy for three-channel remote sensing images are presented. This study is carried out based on pixel-by-pixel classification according to the maximum likelihood criterion. As a criterion for classification accuracy, the weighted total probability of correct rec...

This Editorial paper shortly describes the papers in the Special Issue.

This is the presentation made at Synthetic Aperture Standards Committee mini-workshop held October, 19, 2022. The report relates to support of filter parameter selection based on filter efficiency prediction with particular application to Sentinel-1 SAR images and, in general, other SAR images (after necessary re-training of the perceptron NN).

Lossy image compression is a popular way to get higher compression ratio, it also has several peculiarities if one deals with compressing images corrupted by noise. First, a specific noise filtering effect is observed. Second, optimal operational point (OOP) might exist where quality of a compressed image is closer to the corresponding noise-free i...

Remote sensing images have found numerous applications nowadays. A traditional outcome or intermediate result of their processing is a classification map. Such maps are usually obtained from a pre-trained classifier and it is desired to have the produced classification maps as accurately as possible. The basic subject of this article is the factors...

A BPG (better portable graphics) coder is a novel approach that aims to replace common standards of compression such as JPEG, JPEG2000 and so on. That is why, the BPG coder needs a detailed analysis of its basic characteristics from the viewpoint of visual quality and compression ratio. The BPG coder can use different modes of chroma subsampling fo...

This paper deals with lossy compression of grayscale and color images. A traditional assumption for any compression technique and any image is that a higher compression ratio leads to worse quality of any compressed image according to any quality metric, either standard one as MSE or PSNR or a visual quality metric. Meanwhile, it has been discovere...

This is presentation of our papr at IGARSS 2022

With a resolution improvement, the size of modern remote sensing images increases. This makes it desirable to compress them, mostly by using lossy compression techniques. Often the images to be compressed (or some component images of multichannel remote sensing data) are noisy. The lossy compression of such images has several peculiarities dealing...

Multichannel systems of remote sensing provide a huge amount of data useful for different applications. However, such images occupy a large space that poses problems of processing, storage, transmission, and management. Lossy compression is widely used to decrease the size of data. In lossy compression, one has to provide a reasonable trade-off bet...

The exhaustive search of multiple matches in an overlapping area of two multimodal remote sensing images and the accurate localization of found matches are inherent steps to an efficient registration of these two images. A supervised approach based on convolutional neural networks can address this challenge by producing a similarity map, identifyin...

Lossy compression of images corrupted by noise has several peculiarities. First, a specific noise filtering effect is observed. Second, optimal operation point (OOP) can be observed, i.e. such coder parameter (e.g., quantization step) value can exist that quality of compressed image calculated with respect to noise-free image can be better compared...

The robust discrete Fourier transform (RDFT) technique, which is utilized for robust processing of frequency-modulated (FM) and wideband signals buried in non-Gaussian heavy-tailed noise, is discussed in this study. We focus on employing adaptive and non-adaptive robust estimators to perform spectral analysis and filtering of signals distorted by i...

This chapter deals with lossy compression of images that have been corrupted by additive noise. The chapter's key contribution is that the analysis is done from the perspective of compressed image visual quality. Several coders are explored for which the compression ratio is regulated in various ways. Lossless coding usually does not produce suffic...

It is well known that image processing efficiency considerably depends on image properties. Among operations of image processing, we mean quality assessment, noise characteristic estimation, lossless and lossy compression, denoising, etc. In many papers, such terms as "image complexity", "rich image content", "highly textural image" are used. Their...

Classification accuracy of remote sensing data depends on many factors including level of distortions if lossy compression is applied to original data. However, it is difficult to predict what compression ratio or characteristics of distortions have to be provided in order to ensure classification accuracy reduction due to lossy compression is appr...

Here we consider lossy compression of grayscale dental images. To preserve valuable diagnostic information, we propose to carry out visually lossless compression. For this purpose, it is proposed to apply better portable graphics (BPG) coder for which quality and compression ratio is controlled by the quality parameter Q. To provide invisibility of...

Here we consider lossy compression of grayscale dental images. To preserve valuable diagnostic information, we propose to carry out visually lossless compression. For this purpose, it is proposed to apply better portable graphics (BPG) coder for which quality and compression ratio is controlled by the quality parameter Q. To provide invisibility of...

Digital images are used in various technological, financial, economic, and social processes. Huge datasets of high-resolution images require protected storage and low resource-intensive processing, especially when applying edge computing (EC) for designing Internet of Things (IoT) systems for industrial domains such as autonomous transport systems....

This paper deals with providing the desired quality in the Better Portable Graphics (BPG)-based lossy compression of color and three-channel remote sensing (RS) images. Quality is described by the Mean Deviation Similarity Index (MDSI), which is proven to be one of the best metrics for characterizing compressed image quality due to its high convent...

Better Portable Graphics (BPG), which is based on the High Efficiency Video Coding (HEVC), outperforms many other traditional lossy compression methods in terms of compression ratio and visual quality expressed in standard metrics. It might be necessary to provide a desired visual quality in some conditions where visual perception is of prime impor...

In this paper, a progressive DCT-based coder (PDCTC), which implements a lossy image compression algorithm based on discrete cosine transform (DCT) and provides progressive data reconstruction, is introduced. It is compared to JPEG as well as to discrete atomic compression (DAC) that is an algorithm based on discrete atomic transform (DAT). It is s...

Acquired images often have a large size while there can be limitations on communication line capacity and/or storage memory. Then, there is a need to compressed them. If lossy compression is applied, compressed images should have quality enough high for solving the tasks of their further processing as segmentation, classification, object detection....

Acquired remote sensing images are often large and distorted by noise. On the one hand, this leads to the need to compress them. On the other hand, the presence of noise should be taken into account at the image compression stage and while evaluating the compression efficiency.Our work investigates the noise influence on the BPG method of image com...

Remote sensing and medical imaging are very important in human’s life. The former deals with many applications from weather monitoring to military purposes and is performed by sensors mounted onboard of satellite and aerospace carriers. Medical imaging assists in disease detection and diagnostics. Images acquired by synthetic aperture radar or ultr...

No-reference image quality assessment is one of the most demanding areas of image analysis for many applications where the results of the analysis should be strongly correlated with the quality of an input image and the corresponding reference image is unavailable. One of the examples might be remote sensing since the transmission of such obtained...

Finding putative correspondences between a pair of images is an important prerequisite for image registration. In complex cases such as multimodal registration, a true match could be less plausible than a false match within a search zone. Under these conditions, it is important to detect all plausible matches. This could be achieved by an exhaustiv...

Synthetic aperture radar (SAR) images have found numerousapplications. However, analysis of SAR images includinginterpretation, classification, segmentation, etc. is an extremelychallenging task due to the presence of intensive speckle noise.Therefore, image denoising is one of the main stages in SAR datapre-processing. Over the past decades, a lar...

Visual quality is important for remote sensing data presentedvas grayscale, color or pseudo-color images. Although several visual quality metrics (VQMs) have been used to characterize such data, only a limited analysis of their applicability in remotesensing applications has been done so far. In this paper, we study correlation factors for a wide s...

Noise parameters estimation is required in various stages of digital image processing. Many efficient algorithms of noise estimation were proposed during last two decades. However, most of these algorithms are efficient only for a specific type of noise for which they are designed. For example, methods of variance estimation of additive white Gauss...

Remote sensing (RS) digital images have a great variety of applications in solving real-world problems. Modern sensors provide this type of data of a very high resolution, which, in combination with a great number of acquired images, makes a problem of compressing RS-images of particular importance. In this letter, discrete atomic compression (DAC)...