Title :
Revisiting the JPEG-LS prediction scheme
Author :
Jiang, J. ; Guo, B. ; Yang, S.Y.
Author_Institution :
Sch. of Comput., Glamorgan Univ., Pontypridd, UK
fDate :
12/1/2000 12:00:00 AM
Abstract :
The authors investigate the prediction scheme of JPEG-LS, the latest JPEG standard for lossless/near lossless image compression. They show that it is not sufficient to consider only horizontal and vertical edges in constructing predictive values. As a result, they propose an additional diagonal edge detection scheme to achieve better prediction accuracy and hence provide potential for further improvement. Experiments show that, in terms of mean-square-error values, the proposed scheme outperforms the existing JPEG-LS prediction for all images tested, while the complexity of the overall algorithm is maintained at a similar level
Keywords :
code standards; data compression; edge detection; image coding; mean square error methods; prediction theory; JPEG standard; JPEG-LS prediction scheme; algorithm complexity; diagonal edges; edge detection scheme; horizontal edges; lossless image compression; mean-square-error values; near lossless image compression; vertical edges;
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
DOI :
10.1049/ip-vis:20000767