Huffman-based lossless image encoding scheme

dc.contributor.authorErdal, Erdal
dc.date.accessioned2025-01-21T16:41:39Z
dc.date.available2025-01-21T16:41:39Z
dc.date.issued2021
dc.departmentKırıkkale Üniversitesi
dc.description.abstractThe data produced in today's Internet and computer world are expanding their wings day by day. With the passage of time, storage and archiving of this data are becoming a significant problem. To overcome this problem, attempts have been made to reduce data sizes using compression methods. Therefore, compression algorithms have received great attention. In this study, two efficient encoding algorithms are presented and explained in a crystal-clear manner. In all compression algorithms, frequency modulation is used. In this way, the characters with the highest frequency after each character are determined and the Huffman encoding algorithm is applied to them. In this study, the compression ratio (CR) is 49.44%. Moreover, 30 randomly selected images in three different datasets consisting of USC-SIPI, UCID, and STARE databases have been used to evaluate the performance of the algorithms. Consequently, excellent results have been obtained in all test images according to well-known comparison algorithms such as the Huffman encoding algorithm, arithmetic coding algorithm, and LPHEA. (C) 2021 SPIE and IS&T
dc.identifier.doi10.1117/1.JEI.30.5.053004
dc.identifier.issn1017-9909
dc.identifier.issn1560-229X
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85118790965
dc.identifier.scopusqualityQ3
dc.identifier.urihttps://doi.org/10.1117/1.JEI.30.5.053004
dc.identifier.urihttps://hdl.handle.net/20.500.12587/24903
dc.identifier.volume30
dc.identifier.wosWOS:000713662100006
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpie-Soc Photo-Optical Instrumentation Engineers
dc.relation.ispartofJournal of Electronic Imaging
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241229
dc.subjectimage compression; encoding scheme; Huffman encoding algorithm; compression algorithm; lossless compression
dc.titleHuffman-based lossless image encoding scheme
dc.typeArticle

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