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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Bibliographic Details
Published in:	Entropy (Basel, Switzerland) Vol. 26; no. 12; p. 1115
Main Authors:	Ulacha, Grzegorz, Łazoryszczak, Mirosław
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 01.12.2024 MDPI
Subjects:	Algorithms Analysis Arithmetic coding Binary codes Context context-dependent coding Data compression Decoding deep learning Efficiency entropy coding Image compression Impact analysis iterative reweighted least squares Linear prediction lossless image coding Medical imaging equipment Methods Optimization Parameters Prediction models Switching theory Time dependence Wavelet transforms deep learning context-dependent coding lossless image coding entropy coding iterative reweighted least squares
ISSN:	1099-4300, 1099-4300
Online Access:	Get full text
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