Cargando…
Extended Multi WLS Method for Lossless Image Coding
In this paper, the most efficient (from data compaction point of view) and current image lossless coding method is presented. Being computationally complex, the algorithm is still more time efficient than its main competitors. The presented cascaded method is based on the Weighted Least Square (WLS)...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597162/ https://www.ncbi.nlm.nih.gov/pubmed/33286688 http://dx.doi.org/10.3390/e22090919 |
_version_ | 1783602279140556800 |
---|---|
author | Ulacha, Grzegorz Stasiński, Ryszard Wernik, Cezary |
author_facet | Ulacha, Grzegorz Stasiński, Ryszard Wernik, Cezary |
author_sort | Ulacha, Grzegorz |
collection | PubMed |
description | In this paper, the most efficient (from data compaction point of view) and current image lossless coding method is presented. Being computationally complex, the algorithm is still more time efficient than its main competitors. The presented cascaded method is based on the Weighted Least Square (WLS) technique, with many improvements introduced, e.g., its main stage is followed by a two-step NLMS predictor ended with Context-Dependent Constant Component Removing. The prediction error is coded by a highly efficient binary context arithmetic coder. The performance of the new algorithm is compared to that of other coders for a set of widely used benchmark images. |
format | Online Article Text |
id | pubmed-7597162 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75971622020-11-09 Extended Multi WLS Method for Lossless Image Coding Ulacha, Grzegorz Stasiński, Ryszard Wernik, Cezary Entropy (Basel) Article In this paper, the most efficient (from data compaction point of view) and current image lossless coding method is presented. Being computationally complex, the algorithm is still more time efficient than its main competitors. The presented cascaded method is based on the Weighted Least Square (WLS) technique, with many improvements introduced, e.g., its main stage is followed by a two-step NLMS predictor ended with Context-Dependent Constant Component Removing. The prediction error is coded by a highly efficient binary context arithmetic coder. The performance of the new algorithm is compared to that of other coders for a set of widely used benchmark images. MDPI 2020-08-22 /pmc/articles/PMC7597162/ /pubmed/33286688 http://dx.doi.org/10.3390/e22090919 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ulacha, Grzegorz Stasiński, Ryszard Wernik, Cezary Extended Multi WLS Method for Lossless Image Coding |
title | Extended Multi WLS Method for Lossless Image Coding |
title_full | Extended Multi WLS Method for Lossless Image Coding |
title_fullStr | Extended Multi WLS Method for Lossless Image Coding |
title_full_unstemmed | Extended Multi WLS Method for Lossless Image Coding |
title_short | Extended Multi WLS Method for Lossless Image Coding |
title_sort | extended multi wls method for lossless image coding |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597162/ https://www.ncbi.nlm.nih.gov/pubmed/33286688 http://dx.doi.org/10.3390/e22090919 |
work_keys_str_mv | AT ulachagrzegorz extendedmultiwlsmethodforlosslessimagecoding AT stasinskiryszard extendedmultiwlsmethodforlosslessimagecoding AT wernikcezary extendedmultiwlsmethodforlosslessimagecoding |