On properties of visual quality metrics in remote sensing applications

Oleg, Ieremeiev; Vladimir, Lukin; Okarma, Krzysztof; Karen, Egiazarian; Vozel, Benôıt

doi:10.2352/ei.2022.34.10.ipas-354

Cited by 6 publications

(4 citation statements)

References 14 publications

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“…2. The choice of the best metrics with high SROCC rates or the exclusion of similar metrics with high cross-correlation values has shown insufficient efficiency in [51].…”

Section: The Problem Of Metrics Selectionmentioning

confidence: 99%

Efficiency Increasing of No-reference Image Quality Assessment in UAV Applications

Ieremeiev,

Lukin,

Okarma

et al. 2023

Computer Modeling and Intelligent Systems

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Unmanned aerial vehicle (UAV) imaging is a dynamically developing field, where the effectiveness of imaging applications highly depends on quality of the acquired images. Noreference 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 metrics for human visual perception. In this paper, we demonstrate that this problem persists for typical applications of UAV images. We present a methodology to improve the efficiency of visual quality assessment by existing metrics for images obtained from UAVs, and introduce a method of combining quality metrics with the optimal selection of the elementary metrics used in this combination. A combined metric is designed based on a neural network trained to utilize subjective assessments of visual quality. The metric was tested using the TID2013 image database and a set of real UAV images with embedded distortions. Verification results have demonstrated the robustness and accuracy of the proposed metric.

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“…2. The choice of the best metrics with high SROCC rates or the exclusion of similar metrics with high cross-correlation values has shown insufficient efficiency in [51].…”

Section: The Problem Of Metrics Selectionmentioning

confidence: 99%

Efficiency Increasing of No-reference Image Quality Assessment in UAV Applications

Ieremeiev,

Lukin,

Okarma

et al. 2023

Computer Modeling and Intelligent Systems

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“…To simplify the synthesis of the algorithm for estimating the parameters of a rough surface, we will assume that from the entire set of processes recorded by the elements of the matrix of an optical photosensitive device, independent temporal processes are analyzed, selected approximately at intervals equal to the correlation radius of the speckle pattern as a spatial random process. Such assumption was applied in the following works [20][21][22]. In this case, the positions of the receiving elements of the photosensitive device on its surface correspond to such angular i0 i…”

Section: Noisementioning

confidence: 99%

Synthesis of the optimal algorithm and structure of contactless optical device for estimating the parameters of statistically uneven surfaces

Shmatko

Volosyuk

Zhyla

et al. 2021

reks

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The production of parts and (or) finished products in electronics, mechanical engineering and other industries is inextricably linked with the control of the accuracy and cleanliness of the processed surfaces. Currently existing meters of parameters of statistically uneven surfaces, both contact and non-contact have some disadvantages, as well as limitations due to methods and design features of measurement. Speckle interferometric methods for measuring parameters of statistically uneven surfaces make it possible to get away from some disadvantages inherent in existing methods and measurements. The use of methods of statistical radio engineering, methods of optimization of statistical solutions and estimates of parameters of predictive distributions for optimal radio engineering system synthesis is promising for the analysis and processing optical-electronic coherent laser space-time signals (speckle images) form with the laser radiation scattered by statistically uneven surfaces. This work synthesizes the optimal algorithm and structure for analyzing the parameters of statistically-temporal surfaces based on spatio-temporal processing of optical speckle interference signals and images using modern methods of optimal synthesis of radio engineering and coherent optoelectronic systems. In this work, an algorithm for processing optical signals scattered by statistically uneven surfaces is synthesized and investigated for problems of optimal estimation of parameters and statistical characteristics of statistically uneven surfaces. A block diagram of the optical contactless device for evaluating the parameters of statistically uneven surfaces is proposed. The limiting errors of estimation parameters of statistically uneven surfaces and the optimal installation angles of the emitters and the optical receiver are investigated. Equations are obtained for estimating the root-mean-square height of the ridges and the correlation radius of small-scale statistically uneven surfaces in the approximation of small perturbations. The proposed method for evaluating the parameters of statistically uneven surfaces allows to increase the accuracy of measurements, to conduct a non-contact assessment of the parameters - even statistically uneven surfaces that have geometric surface irregularities or located in hard-to-reach places, for example, grooves, holes, as well as products of cylindrical, spherical and other shapes.

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“…There are recommendations regarding the quality of providing video information in aerial monitoring systems. They are determined by the standards STANAG 4671:2009 [7], STANAG 7023:2009 [8]. Given that, the following requirements come into force:…”

Section: Introductionmentioning

confidence: 99%

Method of compression and ensuring the fidelity of video images in infocommunication networks

Бараннік

Krasnorutsky

Kolesnyk

et al. 2022

reks

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Subject research in the article is the methods of compressing video images under conditions of ensuring the desired level of their fidelity in the delivery process using infocommunication networks. The goal is to develop methods of encoding video images for increasing the level of their compression in the conditions of ensuring required reliability. Task: to substantiate the approach regarding the structural clusterization of transformed video segments in the conditions of preserving their reliability; to develop a method of structural and statistical coding of transformants in the spectral-cluster space; conduct a comparative evaluation of the effectiveness of various methods of encoding video segments. The methods used: mathematical models for estimating the amount of statistical and structural redundancy in the clustered spectral space of video segments; methods of statistical coding. The following results have been obtained. The potential effectiveness of representing a transformant in clustered space by the number of series of units in binary description of their components has been substantiated. A method of structural-statistical coding in the spectral-cluster space has been created. The basic component of this technological approach is the evaluation of the estimates regarding the potential ability to eliminate various types of redundancy in the current cluster. Here, the amount of redundancy is reduced considering the statistical and structural features of the cluster. The comparative evaluation revealed the advantages of the created method over coding methods in standardized platforms. The advantage is achieved in terms of the peak signal-to-noise ratio by at least 30%. and in terms of a compression ratio by an average of 12 %. Conclusions. The scientific novelty of the obtained results is as follows: for the first time, a method of structural-statistical coding of video segments in spectral space based on their clusterization has been created. The differences of the method lie in the fact that the component of the transformant is simultaneously interpreted as an element of the statistical and combinatorial cluster space; the potential capabilities of eliminating various types of redundancy in the clustered transformant are considered. This provides an increase in the level of compression of video images for a given level of reliability.

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On properties of visual quality metrics in remote sensing applications

Cited by 6 publications

References 14 publications

Efficiency Increasing of No-reference Image Quality Assessment in UAV Applications

Efficiency Increasing of No-reference Image Quality Assessment in UAV Applications

Synthesis of the optimal algorithm and structure of contactless optical device for estimating the parameters of statistically uneven surfaces

Method of compression and ensuring the fidelity of video images in infocommunication networks

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