Abstract
The technique for lossless grayscale image coding was described using higher order context modeling and bit-plane decomposition (BPD). In bit-plane decomposition, a k-bit grayscale image is decomposed into a set of k binary planes. The bit-plane encoding algorithms encode the bit-planes independently and uses large uniform areas in each plane to achieve high compression. The results demonstrated significant gains in performance over JPEG, regular arithematic coding, and high-order conditional entropy (HOCE)-BPD using two dimensional modeling.
Original language | English (US) |
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Pages | 254-257 |
Number of pages | 4 |
State | Published - 1998 |
Event | 4th International Conference on Computer Science and Informatics, JCIS 1998, 1st International Workshop on High Performance, 1st International Workshop on Computer Vision, Pattern Recognition and Image Processing Volume 4 - Research Triangle Park, NC, United States Duration: Oct 23 1998 → Oct 28 1998 |
Other
Other | 4th International Conference on Computer Science and Informatics, JCIS 1998, 1st International Workshop on High Performance, 1st International Workshop on Computer Vision, Pattern Recognition and Image Processing Volume 4 |
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Country/Territory | United States |
City | Research Triangle Park, NC |
Period | 10/23/98 → 10/28/98 |
ASJC Scopus subject areas
- General Computer Science