Abstract
Linear predictive schemes are some of the simplest techniques in lossless image compression. The current JPEG image coding standard uses linear predictive coders in its lossless mode. The paper attempts to obtain the predictor coefficient for lossless image compression by minimizing the first order entropy of the prediction error. The paper uses simulated annealing to perform the minimization. One way to improve the performance of linear predictive techniques is to first remapped the pixel values such that the histogram of the remapped images contains no `holes' in it.
Original language | English (US) |
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Pages (from-to) | 452 |
Number of pages | 1 |
Journal | Data Compression Conference Proceedings |
State | Published - 1995 |
Event | Proceedings of the 5th Data Compression Conference - Snowbird, UT, USA Duration: Mar 28 1995 → Mar 30 1995 |
ASJC Scopus subject areas
- Computer Networks and Communications