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Adaptive two-step method for providing the desired visual quality for SPIHT
(ХАІ, 2022)
is employed to evaluate the image quality. The research method is based on a validation ex periment that is
conducted for an image set covering different image complexity and texture features. The comparison results ...
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 ...
Prediction of compression ratio for ADCT coder
(ХАІ, 2016)
One way to predict compression ratio for efficient coder called ADCT is proposed. Prediction is based on determination
of a simple parameter before compression that can be easily calculated in 8x8 pixel blocks. Such ...
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).