Lossless Image Compression Using Context-Dependent Linear Prediction Based on Mean Absolute Error Minimization

This paper presents a method for lossless compression of images with fast decoding time and the option to select encoder parameters for individual image characteristics to increase compression efficiency. The data modeling stage was based on linear and nonlinear prediction, which was complemented by...

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Hlavní autoři:	Grzegorz Ulacha, Mirosław Łazoryszczak
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-12-01
Edice:	Entropy
Témata:	entropy coding iterative reweighted least squares context-dependent coding deep learning lossless image coding
On-line přístup:	https://www.mdpi.com/1099-4300/26/12/1115
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