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

Amin Nassar, Mohammad El-Goboushi (Autoren)

Buch | Softcover

12 Seiten

2015 | 1. Auflage
GRIN Verlag
978-3-656-93073-0 (ISBN)

Titel nicht im Sortiment

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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.

Mohamed El-Ghoboushi received his B.E. in Electronics and Electrical communications Engineeringfrom 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

Erscheint lt. Verlag	20.4.2015
Sprache	englisch
Maße	148 x 210 mm
Gewicht	32 g
Themenwelt	Technik ► Elektrotechnik / Energietechnik
Schlagworte	binary • Calic • compression • continuous-tone • images • Improving • Performance
ISBN-10	3-656-93073-2 / 3656930732
ISBN-13	978-3-656-93073-0 / 9783656930730
Zustand	Neuware