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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 ...
Time-frequency representation enhancement: approach based on image filtering methods
(ХАІ, 2016)
The task of filtering of the time-frequency representations, obtained by the S-method, using advanced digital image processing filters, both local and nonlocal is considered.
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).