Amin Nassar, Mohammad El-Goboushi

Improving Calic Compression Performance on both Continuous-Tone and Binary Images

• Broschiertes Buch

Produktbeschreibung

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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Produktdetails

• Akademische Schriftenreihe V294971
• Verlag: GRIN Verlag
• 1. Auflage
• Seitenzahl: 12
• Erscheinungstermin: 20. April 2015
• Englisch
• Abmessung: 210mm x 148mm x 2mm
• Gewicht: 34g
• ISBN-13: 9783656930730
• ISBN-10: 3656930732
• Artikelnr.: 42649296

Autorenporträt

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 is currently pursuing the Ph.D. degree in electrical communications engineering at Suez Canal University,