Abstract
A linear edge model for the prediction of edge pixel values is first proposed and a gradient-adjusted predictor based on this model for context-based lossless image coding is then developed. Theoretical analysis and experiment results show that the performance of the proposed predictor is better than that of the state-of-the-art predictors for most test images.
Original language | English |
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Pages (from-to) | 955-958 |
Number of pages | 4 |
Journal | Signal Processing: Image Communication |
Volume | 19 |
Issue number | 10 |
DOIs | |
Publication status | Published - 1 Nov 2004 |
Keywords
- Gradient-adjusted predictor
- Image edge model
- Linear edge
- Lossless image coding
ASJC Scopus subject areas
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering