Evaluation and performance analysis of Chinese remainder theorem and its application to lossless image compression
Chinese remainder theorem (CRT) is widely utilized in many cryptographic applications and additionally the reversible nature of CRT is employed in compression of images. This paper mainly focuses on the suitability of CRT for lossless image compression and the analysis is carried out for the number...
Gespeichert in:
Veröffentlicht in: | Journal of ambient intelligence and humanized computing 2023-06, Vol.14 (6), p.6645-6660 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 6660 |
---|---|
container_issue | 6 |
container_start_page | 6645 |
container_title | Journal of ambient intelligence and humanized computing |
container_volume | 14 |
creator | Vidhya, R. Brindha, M. |
description | Chinese remainder theorem (CRT) is widely utilized in many cryptographic applications and additionally the reversible nature of CRT is employed in compression of images. This paper mainly focuses on the suitability of CRT for lossless image compression and the analysis is carried out for the number and range of primes to be chosen. With respect to the analysis is carried out for the number of primes to be chosen (i.e., 2, 3, 4, 5, and 6), it is found that CRT suits well only for the chosen number of primes 2 with good compression ratio. For the remaining prime numbers, it provides negligible or even negative CR based on the chosen number of prime numbers. Also, CRT based lossless compression (CRTLC) reduces the size of the image based on the number of primes chosen. Further, it can achieve substantial compression of the original image. Using different test images, CRT is compared with recent lossless compression methods and against the standard set of lossless compression techniques (i.e., JPEG 2000, JPEG-LS, and CALIC). From these comparisons, it is inferred that CRT scores (maximum achieved CR is 1.8823) better than the recent and standard algorithms. |
doi_str_mv | 10.1007/s12652-021-03532-y |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2919477895</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2919477895</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-b8b579ce9c67c97e079d6b7142a7098a1818bbacf3a01406b818055a177b7f6d3</originalsourceid><addsrcrecordid>eNp9UMFOwzAMjRBITGM_wCkS50LcNE1zRNOASZO4wDlK03Tr1DYl7pD694QVwQ1f7Ce_92Q_Qm6B3QNj8gEhzUWasBQSxgVPk-mCLKDIi0RAJi5_Zy6vyQrxyGJxxQFgQcLm07QnMza-p6av6OBC7UNneusiNu2EDVJf0_Wh6R06Glxnmr5ygY4H5yM6q5oRqRmGtrGz0-hp6xFbh0ibzuwdtb4bQoRxe0OuatOiW_30JXl_2rytX5Ld6_N2_bhLLAc1JmVRCqmsUzaXVknHpKryUkKWGslUYaCAoiyNrblhkLG8jJgJYUDKUtZ5xZfkbvYdgv84ORz10Z9C_Al1qkBlUhZKRFY6s2yIFwdX6yHEk8OkgenvePUcr47x6nO8eooiPoswkvu9C3_W_6i-AC2hf40</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2919477895</pqid></control><display><type>article</type><title>Evaluation and performance analysis of Chinese remainder theorem and its application to lossless image compression</title><source>SpringerLink Journals - AutoHoldings</source><source>ProQuest Central</source><creator>Vidhya, R. ; Brindha, M.</creator><creatorcontrib>Vidhya, R. ; Brindha, M.</creatorcontrib><description>Chinese remainder theorem (CRT) is widely utilized in many cryptographic applications and additionally the reversible nature of CRT is employed in compression of images. This paper mainly focuses on the suitability of CRT for lossless image compression and the analysis is carried out for the number and range of primes to be chosen. With respect to the analysis is carried out for the number of primes to be chosen (i.e., 2, 3, 4, 5, and 6), it is found that CRT suits well only for the chosen number of primes 2 with good compression ratio. For the remaining prime numbers, it provides negligible or even negative CR based on the chosen number of prime numbers. Also, CRT based lossless compression (CRTLC) reduces the size of the image based on the number of primes chosen. Further, it can achieve substantial compression of the original image. Using different test images, CRT is compared with recent lossless compression methods and against the standard set of lossless compression techniques (i.e., JPEG 2000, JPEG-LS, and CALIC). From these comparisons, it is inferred that CRT scores (maximum achieved CR is 1.8823) better than the recent and standard algorithms.</description><identifier>ISSN: 1868-5137</identifier><identifier>EISSN: 1868-5145</identifier><identifier>DOI: 10.1007/s12652-021-03532-y</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Accuracy ; Algorithms ; Artificial Intelligence ; Compression ratio ; Computational Intelligence ; Cryptography ; Data compression ; Data encryption ; Engineering ; Image compression ; Medical research ; Methods ; Multimedia ; Original Research ; Prime numbers ; Robotics and Automation ; Theorems ; User Interfaces and Human Computer Interaction ; Video compression</subject><ispartof>Journal of ambient intelligence and humanized computing, 2023-06, Vol.14 (6), p.6645-6660</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-b8b579ce9c67c97e079d6b7142a7098a1818bbacf3a01406b818055a177b7f6d3</citedby><cites>FETCH-LOGICAL-c319t-b8b579ce9c67c97e079d6b7142a7098a1818bbacf3a01406b818055a177b7f6d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12652-021-03532-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2919477895?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,21387,27923,27924,33743,41487,42556,43804,51318,64384,64388,72240</link.rule.ids></links><search><creatorcontrib>Vidhya, R.</creatorcontrib><creatorcontrib>Brindha, M.</creatorcontrib><title>Evaluation and performance analysis of Chinese remainder theorem and its application to lossless image compression</title><title>Journal of ambient intelligence and humanized computing</title><addtitle>J Ambient Intell Human Comput</addtitle><description>Chinese remainder theorem (CRT) is widely utilized in many cryptographic applications and additionally the reversible nature of CRT is employed in compression of images. This paper mainly focuses on the suitability of CRT for lossless image compression and the analysis is carried out for the number and range of primes to be chosen. With respect to the analysis is carried out for the number of primes to be chosen (i.e., 2, 3, 4, 5, and 6), it is found that CRT suits well only for the chosen number of primes 2 with good compression ratio. For the remaining prime numbers, it provides negligible or even negative CR based on the chosen number of prime numbers. Also, CRT based lossless compression (CRTLC) reduces the size of the image based on the number of primes chosen. Further, it can achieve substantial compression of the original image. Using different test images, CRT is compared with recent lossless compression methods and against the standard set of lossless compression techniques (i.e., JPEG 2000, JPEG-LS, and CALIC). From these comparisons, it is inferred that CRT scores (maximum achieved CR is 1.8823) better than the recent and standard algorithms.</description><subject>Accuracy</subject><subject>Algorithms</subject><subject>Artificial Intelligence</subject><subject>Compression ratio</subject><subject>Computational Intelligence</subject><subject>Cryptography</subject><subject>Data compression</subject><subject>Data encryption</subject><subject>Engineering</subject><subject>Image compression</subject><subject>Medical research</subject><subject>Methods</subject><subject>Multimedia</subject><subject>Original Research</subject><subject>Prime numbers</subject><subject>Robotics and Automation</subject><subject>Theorems</subject><subject>User Interfaces and Human Computer Interaction</subject><subject>Video compression</subject><issn>1868-5137</issn><issn>1868-5145</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9UMFOwzAMjRBITGM_wCkS50LcNE1zRNOASZO4wDlK03Tr1DYl7pD694QVwQ1f7Ce_92Q_Qm6B3QNj8gEhzUWasBQSxgVPk-mCLKDIi0RAJi5_Zy6vyQrxyGJxxQFgQcLm07QnMza-p6av6OBC7UNneusiNu2EDVJf0_Wh6R06Glxnmr5ygY4H5yM6q5oRqRmGtrGz0-hp6xFbh0ibzuwdtb4bQoRxe0OuatOiW_30JXl_2rytX5Ld6_N2_bhLLAc1JmVRCqmsUzaXVknHpKryUkKWGslUYaCAoiyNrblhkLG8jJgJYUDKUtZ5xZfkbvYdgv84ORz10Z9C_Al1qkBlUhZKRFY6s2yIFwdX6yHEk8OkgenvePUcr47x6nO8eooiPoswkvu9C3_W_6i-AC2hf40</recordid><startdate>20230601</startdate><enddate>20230601</enddate><creator>Vidhya, R.</creator><creator>Brindha, M.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20230601</creationdate><title>Evaluation and performance analysis of Chinese remainder theorem and its application to lossless image compression</title><author>Vidhya, R. ; Brindha, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-b8b579ce9c67c97e079d6b7142a7098a1818bbacf3a01406b818055a177b7f6d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Accuracy</topic><topic>Algorithms</topic><topic>Artificial Intelligence</topic><topic>Compression ratio</topic><topic>Computational Intelligence</topic><topic>Cryptography</topic><topic>Data compression</topic><topic>Data encryption</topic><topic>Engineering</topic><topic>Image compression</topic><topic>Medical research</topic><topic>Methods</topic><topic>Multimedia</topic><topic>Original Research</topic><topic>Prime numbers</topic><topic>Robotics and Automation</topic><topic>Theorems</topic><topic>User Interfaces and Human Computer Interaction</topic><topic>Video compression</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vidhya, R.</creatorcontrib><creatorcontrib>Brindha, M.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Journal of ambient intelligence and humanized computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vidhya, R.</au><au>Brindha, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation and performance analysis of Chinese remainder theorem and its application to lossless image compression</atitle><jtitle>Journal of ambient intelligence and humanized computing</jtitle><stitle>J Ambient Intell Human Comput</stitle><date>2023-06-01</date><risdate>2023</risdate><volume>14</volume><issue>6</issue><spage>6645</spage><epage>6660</epage><pages>6645-6660</pages><issn>1868-5137</issn><eissn>1868-5145</eissn><abstract>Chinese remainder theorem (CRT) is widely utilized in many cryptographic applications and additionally the reversible nature of CRT is employed in compression of images. This paper mainly focuses on the suitability of CRT for lossless image compression and the analysis is carried out for the number and range of primes to be chosen. With respect to the analysis is carried out for the number of primes to be chosen (i.e., 2, 3, 4, 5, and 6), it is found that CRT suits well only for the chosen number of primes 2 with good compression ratio. For the remaining prime numbers, it provides negligible or even negative CR based on the chosen number of prime numbers. Also, CRT based lossless compression (CRTLC) reduces the size of the image based on the number of primes chosen. Further, it can achieve substantial compression of the original image. Using different test images, CRT is compared with recent lossless compression methods and against the standard set of lossless compression techniques (i.e., JPEG 2000, JPEG-LS, and CALIC). From these comparisons, it is inferred that CRT scores (maximum achieved CR is 1.8823) better than the recent and standard algorithms.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s12652-021-03532-y</doi><tpages>16</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1868-5137 |
ispartof | Journal of ambient intelligence and humanized computing, 2023-06, Vol.14 (6), p.6645-6660 |
issn | 1868-5137 1868-5145 |
language | eng |
recordid | cdi_proquest_journals_2919477895 |
source | SpringerLink Journals - AutoHoldings; ProQuest Central |
subjects | Accuracy Algorithms Artificial Intelligence Compression ratio Computational Intelligence Cryptography Data compression Data encryption Engineering Image compression Medical research Methods Multimedia Original Research Prime numbers Robotics and Automation Theorems User Interfaces and Human Computer Interaction Video compression |
title | Evaluation and performance analysis of Chinese remainder theorem and its application to lossless image compression |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T18%3A15%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Evaluation%20and%20performance%20analysis%20of%20Chinese%20remainder%20theorem%20and%20its%20application%20to%20lossless%20image%20compression&rft.jtitle=Journal%20of%20ambient%20intelligence%20and%20humanized%20computing&rft.au=Vidhya,%20R.&rft.date=2023-06-01&rft.volume=14&rft.issue=6&rft.spage=6645&rft.epage=6660&rft.pages=6645-6660&rft.issn=1868-5137&rft.eissn=1868-5145&rft_id=info:doi/10.1007/s12652-021-03532-y&rft_dat=%3Cproquest_cross%3E2919477895%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2919477895&rft_id=info:pmid/&rfr_iscdi=true |