Combined coding of bit planes of images
The aim of this work is to reduce the computational complexity of lossless compression in the spatial domain due to the combined coding (arithmetic and Run-Length Encoding) of a series of bits of bit planes. Known effective compression encoders separately encode the bit planes of the image or transf...
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Format: | Article |
Language: | English |
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Belarusian National Technical University
2019-12-01
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Series: | Системный анализ и прикладная информатика |
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Online Access: | https://sapi.bntu.by/jour/article/view/426 |
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author | B. J.S. Sadiq V. Yu. Tsviatkou M. N. Bobov |
author_facet | B. J.S. Sadiq V. Yu. Tsviatkou M. N. Bobov |
author_sort | B. J.S. Sadiq |
collection | DOAJ |
description | The aim of this work is to reduce the computational complexity of lossless compression in the spatial domain due to the combined coding (arithmetic and Run-Length Encoding) of a series of bits of bit planes. Known effective compression encoders separately encode the bit planes of the image or transform coefficients, which leads to an increase in computational complexity due to multiple processing of each pixel. The paper proposes the rules for combined coding and combined encoders for bit planes of pixel differences of images with a tunable and constant structure, which have lower computational complexity and the same compression ratio as compared to an arithmetic encoder of bit planes. |
format | Article |
id | doaj-art-898d54a4d255460db88c1dea73aefc42 |
institution | Kabale University |
issn | 2309-4923 2414-0481 |
language | English |
publishDate | 2019-12-01 |
publisher | Belarusian National Technical University |
record_format | Article |
series | Системный анализ и прикладная информатика |
spelling | doaj-art-898d54a4d255460db88c1dea73aefc422025-02-03T05:16:51ZengBelarusian National Technical UniversityСистемный анализ и прикладная информатика2309-49232414-04812019-12-0104323710.21122/2309-4923-2019-4-32-37321Combined coding of bit planes of imagesB. J.S. Sadiq0V. Yu. Tsviatkou1M. N. Bobov2Belarusian State University of Informatics and RadioelectronicsBelarusian State University of Informatics and RadioelectronicsBelarusian State University of Informatics and RadioelectronicsThe aim of this work is to reduce the computational complexity of lossless compression in the spatial domain due to the combined coding (arithmetic and Run-Length Encoding) of a series of bits of bit planes. Known effective compression encoders separately encode the bit planes of the image or transform coefficients, which leads to an increase in computational complexity due to multiple processing of each pixel. The paper proposes the rules for combined coding and combined encoders for bit planes of pixel differences of images with a tunable and constant structure, which have lower computational complexity and the same compression ratio as compared to an arithmetic encoder of bit planes.https://sapi.bntu.by/jour/article/view/426combined codingimage compressionbit planesarithmetic codingrun-length encodingcomputational complexitycompression codecs |
spellingShingle | B. J.S. Sadiq V. Yu. Tsviatkou M. N. Bobov Combined coding of bit planes of images Системный анализ и прикладная информатика combined coding image compression bit planes arithmetic coding run-length encoding computational complexity compression codecs |
title | Combined coding of bit planes of images |
title_full | Combined coding of bit planes of images |
title_fullStr | Combined coding of bit planes of images |
title_full_unstemmed | Combined coding of bit planes of images |
title_short | Combined coding of bit planes of images |
title_sort | combined coding of bit planes of images |
topic | combined coding image compression bit planes arithmetic coding run-length encoding computational complexity compression codecs |
url | https://sapi.bntu.by/jour/article/view/426 |
work_keys_str_mv | AT bjssadiq combinedcodingofbitplanesofimages AT vyutsviatkou combinedcodingofbitplanesofimages AT mnbobov combinedcodingofbitplanesofimages |