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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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9603277/ |
| _version_ | 1798033125476925440 |
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| author | Mohammad Nassef Monagi H. Alkinani |
| author_facet | Mohammad Nassef Monagi H. Alkinani |
| author_sort | Mohammad Nassef |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-11T20:25:06Z |
| format | Article |
| id | doaj.art-bb8d40c1156c45ba9b970d6c50c055b1 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-11T20:25:06Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-bb8d40c1156c45ba9b970d6c50c055b12022-12-22T04:04:41ZengIEEEIEEE Access2169-35362021-01-01914965714968010.1109/ACCESS.2021.31250099603277A Novel Multilevel Lossy Compression Algorithm for Grayscale Images Inspired by the Synthesization of Biological Protein SequencesMohammad Nassef0https://orcid.org/0000-0002-8903-6944Monagi H. Alkinani1https://orcid.org/0000-0002-7658-7085Department of Computer Science and Artificial Intelligence, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi ArabiaDepartment of Computer Science and Artificial Intelligence, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi ArabiaEnormous 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.https://ieeexplore.ieee.org/document/9603277/DNAgrayscale imagesimage compressionimage sequencesimage storageJPEG |
| spellingShingle | Mohammad Nassef Monagi H. Alkinani A Novel Multilevel Lossy Compression Algorithm for Grayscale Images Inspired by the Synthesization of Biological Protein Sequences IEEE Access DNA grayscale images image compression image sequences image storage JPEG |
| title | 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_short | 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 |
| topic | DNA grayscale images image compression image sequences image storage JPEG |
| url | https://ieeexplore.ieee.org/document/9603277/ |
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