Improving Calic Compression Performance on both Continuous-Tone and Binary Images - Amin Nassar,Mohammad El-Goboushi
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Toimitus 15-21 arkipäivässä
30 päivän palautusoikeus
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 usin ... Täydellinen kuvaus
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Kuvaus
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.
Lisätietoja
| Kirjoittaja | Amin Nassar, Mohammad El-Goboushi |
|---|---|
| Julkaisija | GRIN Verlag |
| Julkaisuvuosi | 2015 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783656930730 |