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Synopsis
Scientific Essay from the year 2014 in the subject Electrotechnology, Cairo University, language: English, abstract: Context-based adaptive lossless image codec (CALIC) is one of the most efficient lossless encoding techniques for both continuous-tone and binary images. This Paper includes a research on how to modify CALIC algorithm in continuous-tone mode by truncating tails of the error histogram and using an escape mechanism to code the errors beyond the truncated code range, if they occur which improve CALIC compression performance. Also, we are going to propose a modification to CALIC in binary mode by eliminating error feedback mechanism. This minor modification should improve CALIC performance in binary images.
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À propos de l'auteur
Mohamed El-Ghoboushi received his B.E. in Electronics and Electrical communications Engineering from Cairo University, Giza, Egypt, in 2007, and a M.S. degree in Electronics and Electrical communications Engineering from Cairo University, Giza, Egypt, in 2014, He received the Ph.D. degree in electrical communications engineering from Suez Canal University, Ismailia, Egypt, in 2018
À propos de la quatrième de couverture
Scientific Essay from the year 2014 in the subject Electrotechnology, Cairo University, language: English, abstract: Context-based adaptive lossless image codec (CALIC) is one of the most efficient lossless encoding techniques for both continuous-tone and binary images. This Paper includes a research on how to modify CALIC algorithm in continuous-tone mode by truncating tails of the error histogram and using an escape mechanism to code the errors beyond the truncated code range, if they occur which improve CALIC compression performance. Also, we are going to propose a modification to CALIC in binary mode by eliminating error feedback mechanism. This minor modification should improve CALIC performance in binary images.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Improving Calic Compression Performance on both Continuous-Tone and Binary Images
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Scientific Essay from the year 2014 in the subject Electrotechnology, Cairo University, language: English, abstract: Context-based adaptive lossless image codec (CALIC) is one of the most efficient lossless encoding techniques for both continuous-tone and binary images. This Paper includes a research on how to modify CALIC algorithm in continuous-tone mode by truncating tails of the error histogram and using an escape mechanism to code the errors beyond the truncated code range, if they occur which improve CALIC compression performance.Also, we are going to propose a modification to CALIC in binary mode by eliminating error feedback mechanism. This minor modification should improve CALIC performance in binary images. 12 pp. Englisch. N° de réf. du vendeur 9783656930730
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Improving Calic Compression Performance on both Continuous-Tone and Binary Images
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Scientific Essay from the year 2014 in the subject Electrotechnology, Cairo University, language: English, abstract: Context-based adaptive lossless image codec (CALIC) is one of the most efficient lossless encoding techniques for both continuous-tone and binary images. This Paper includes a research on how to modify CALIC algorithm in continuous-tone mode by truncating tails of the error histogram and using an escape mechanism to code the errors beyond the truncated code range, if they occur which improve CALIC compression performance.Also, we are going to propose a modification to CALIC in binary mode by eliminating error feedback mechanism. This minor modification should improve CALIC performance in binary images. N° de réf. du vendeur 9783656930730
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Improving Calic Compression Performance on both Continuous-Tone and Binary Images
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Taschenbuch. Etat : Neu. Improving Calic Compression Performance on both Continuous-Tone and Binary Images | Mohammad El-Goboushi (u. a.) | Taschenbuch | 12 S. | Englisch | 2015 | GRIN Verlag | EAN 9783656930730 | Verantwortliche Person für die EU: GRIN Publishing GmbH, Waltherstr. 23, 80337 München, info[at]grin[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 104733615
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