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)...
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| Formato: | Artigo |
| Idioma: | English |
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MDPI AG
2020-08-01
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| Colecção: | Entropy |
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| Acesso em linha: | https://www.mdpi.com/1099-4300/22/9/919 |
| _version_ | 1827708203041816576 |
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| author | Grzegorz Ulacha Ryszard Stasiński Cezary Wernik |
| author_facet | Grzegorz Ulacha Ryszard Stasiński Cezary Wernik |
| author_sort | Grzegorz Ulacha |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T17:00:22Z |
| format | Article |
| id | doaj.art-e901b93d463a4d96ba4df3cfc087e17a |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-10T17:00:22Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-e901b93d463a4d96ba4df3cfc087e17a2023-11-20T10:59:44ZengMDPI AGEntropy1099-43002020-08-0122991910.3390/e22090919Extended Multi WLS Method for Lossless Image CodingGrzegorz Ulacha0Ryszard Stasiński1Cezary Wernik2Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, ul. Żołnierska 49, 71-210 Szczecin, PolandDepartment of Informatics and Telecommunications, Poznań University of Technology, ul. Piotrowo 3, 60-965 Poznań, PolandFaculty of Computer Science and Information Technology, West Pomeranian University of Technology, ul. Żołnierska 49, 71-210 Szczecin, PolandIn 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.https://www.mdpi.com/1099-4300/22/9/919image codinglossless codingarithmetical coder |
| spellingShingle | Grzegorz Ulacha Ryszard Stasiński Cezary Wernik Extended Multi WLS Method for Lossless Image Coding Entropy image coding lossless coding arithmetical coder |
| 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 | image coding lossless coding arithmetical coder |
| url | https://www.mdpi.com/1099-4300/22/9/919 |
| work_keys_str_mv | AT grzegorzulacha extendedmultiwlsmethodforlosslessimagecoding AT ryszardstasinski extendedmultiwlsmethodforlosslessimagecoding AT cezarywernik extendedmultiwlsmethodforlosslessimagecoding |