A Novel Multilevel Lossy Compression Algorithm for Grayscale Images Inspired by the Synthesization of Biological Protein Sequences

Enormous number of images are generated daily in all areas of life, including social media, medical and navigation images. Moreover, the development of smart phones among other specialized media-capturing devices has witnessed great advances during the last decade. Consequently, the storage, transmi...

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Autores principales:	Mohammad Nassef, Monagi H. Alkinani
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	DNA grayscale images image compression image sequences image storage JPEG Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/bb8d40c1156c45ba9b970d6c50c055b1
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id	oai:doaj.org-article:bb8d40c1156c45ba9b970d6c50c055b1
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spelling	oai:doaj.org-article:bb8d40c1156c45ba9b970d6c50c055b12021-11-18T00:01:54ZA Novel Multilevel Lossy Compression Algorithm for Grayscale Images Inspired by the Synthesization of Biological Protein Sequences2169-353610.1109/ACCESS.2021.3125009https://doaj.org/article/bb8d40c1156c45ba9b970d6c50c055b12021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9603277/https://doaj.org/toc/2169-3536Enormous number of images are generated daily in all areas of life, including social media, medical and navigation images. Moreover, the development of smart phones among other specialized media-capturing devices has witnessed great advances during the last decade. Consequently, the storage, transmission, and analysis of images become essential and frequent tasks. Thus, various research efforts tried to address the image compression problem from different computational perspectives. This article presents a novel multilevel lossy compression algorithm for grayscale images, namely <bold>Image-as-Protein</bold> (<italic>IaP</italic>), that is inspired by the translation of <italic>DNA</italic> sequences into <italic>protein</italic> sequences that occurs inside live beings. Because of the high similarity of the resulting textual <italic>protein</italic> sequence, it can be tackled by general text compression techniques with competitive compression ratios. Various qualitative comparisons and quantitative measures such as <italic>BPP</italic>, <italic>SSIM</italic> and <italic>PSNR</italic> have been carried out on multiple grayscale image benchmark datasets. The experimental results showed that the proposed algorithm is promising compared to the famous JPEG lossy image compression standard.Mohammad NassefMonagi H. AlkinaniIEEEarticleDNAgrayscale imagesimage compressionimage sequencesimage storageJPEGElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 149657-149680 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	DNA grayscale images image compression image sequences image storage JPEG Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	DNA grayscale images image compression image sequences image storage JPEG Electrical engineering. Electronics. Nuclear engineering TK1-9971 Mohammad Nassef Monagi H. Alkinani A Novel Multilevel Lossy Compression Algorithm for Grayscale Images Inspired by the Synthesization of Biological Protein Sequences
description	Enormous number of images are generated daily in all areas of life, including social media, medical and navigation images. Moreover, the development of smart phones among other specialized media-capturing devices has witnessed great advances during the last decade. Consequently, the storage, transmission, and analysis of images become essential and frequent tasks. Thus, various research efforts tried to address the image compression problem from different computational perspectives. This article presents a novel multilevel lossy compression algorithm for grayscale images, namely <bold>Image-as-Protein</bold> (<italic>IaP</italic>), that is inspired by the translation of <italic>DNA</italic> sequences into <italic>protein</italic> sequences that occurs inside live beings. Because of the high similarity of the resulting textual <italic>protein</italic> sequence, it can be tackled by general text compression techniques with competitive compression ratios. Various qualitative comparisons and quantitative measures such as <italic>BPP</italic>, <italic>SSIM</italic> and <italic>PSNR</italic> have been carried out on multiple grayscale image benchmark datasets. The experimental results showed that the proposed algorithm is promising compared to the famous JPEG lossy image compression standard.
format	article
author	Mohammad Nassef Monagi H. Alkinani
author_facet	Mohammad Nassef Monagi H. Alkinani
author_sort	Mohammad Nassef
title	A Novel Multilevel Lossy Compression Algorithm for Grayscale Images Inspired by the Synthesization of Biological Protein Sequences
title_short	A Novel Multilevel Lossy Compression Algorithm for Grayscale Images Inspired by the Synthesization of Biological Protein Sequences
title_full	A Novel Multilevel Lossy Compression Algorithm for Grayscale Images Inspired by the Synthesization of Biological Protein Sequences
title_fullStr	A Novel Multilevel Lossy Compression Algorithm for Grayscale Images Inspired by the Synthesization of Biological Protein Sequences
title_full_unstemmed	A Novel Multilevel Lossy Compression Algorithm for Grayscale Images Inspired by the Synthesization of Biological Protein Sequences
title_sort	novel multilevel lossy compression algorithm for grayscale images inspired by the synthesization of biological protein sequences
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/bb8d40c1156c45ba9b970d6c50c055b1
work_keys_str_mv	AT mohammadnassef anovelmultilevellossycompressionalgorithmforgrayscaleimagesinspiredbythesynthesizationofbiologicalproteinsequences AT monagihalkinani anovelmultilevellossycompressionalgorithmforgrayscaleimagesinspiredbythesynthesizationofbiologicalproteinsequences AT mohammadnassef novelmultilevellossycompressionalgorithmforgrayscaleimagesinspiredbythesynthesizationofbiologicalproteinsequences AT monagihalkinani novelmultilevellossycompressionalgorithmforgrayscaleimagesinspiredbythesynthesizationofbiologicalproteinsequences
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A Novel Multilevel Lossy Compression Algorithm for Grayscale Images Inspired by the Synthesization of Biological Protein Sequences

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