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On classifier learning methodologies with application to compressed remote sensing images
(ХАІ, 2022)
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 ...
On strange images with application to lossy image compression
(ХАІ, 2022)
The task of the article is to provide a definition of strange images and check whether the non-monotonicity of the dependences of the distortions on the compression level holds for different encoders and metrics. Another ...
Two-step providing of desired quality in lossy image compression by SPIHT
(ХАІ, 2020)
This paper considers the application of the two-step method in an encoder based on a discrete wavelet trans-form (DWT).
On classifier performance for remote sensing images compressed by different coders
(ХАІ, 2023)
The main subject of the article is the factors that determine the accuracy of the classification. One of them is the quality of the compressed image.
Preliminary analysis of noisy image lossy compression by discrete atomic transform-based coder
(ХАІ, 2023)
The main topic of this article is the features of lossy compression of a noisy image using an encoder based on atomic transformation. Our goal is to analyze whether the considered compression method provides the effect of ...
Saliency map in image visual quality assessment and processing
(ХАІ, 2023)
The main goal of this paper is to give a brief survey of these factors and to consider how maps are already used in image quality assessment and processing as well as how they can be employed in the future.
Continuous cuffless blood pressure measurement using feed-forward neural network
(ХАІ, 2023)
The target of the study was to obtain systolic and diastolic blood pressure based on an FFNN, the input arguments of which are the parameters of the ECG and PPG signals.
BPG-based compression analysis of Poisson-noisy medical images
(ХАІ, 2023)
The subject matter is lossy compression using the BPG encoder for medical images with varying levels of visual complexity, which are corrupted by Poisson noise. The goal of this study is to determine the optimal parameters ...
Post-processing of compressed noisy images using BM3D filter
(ХАІ, 2023)
The main goal of this paper is to consider the possible application of a block-matching 3-dimensional (BM3D) filter to images corrupted by additive white Gaussian noise compressed by a better portable graphics (BPG) coder ...