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1999
IEEE

Edge Directed Prediction for Lossless Compression of Natural Images

9 years 3 months ago
Edge Directed Prediction for Lossless Compression of Natural Images
This paper sheds light on the recent least-square (LS)-based adaptive prediction schemes for lossless compression of natural images. Our analysis shows that the superiority of the LS-based adaptation is due to its edge-directed property, which enables the predictor to adapt reasonably well from smooth regions to edge areas. Recognizing that LS-based adaptation improves the prediction mainly around the edge areas, we propose a novel approach to reduce its computational complexity with negligible performance sacrifice. The lossless image coder built upon the new prediction scheme has achieved noticeably better performance than the state-of-the-art coder CALIC with moderately increased computational complexity.
Xin Li, Michael T. Orchard
Added 03 Aug 2010
Updated 03 Aug 2010
Type Conference
Year 1999
Where ICIP
Authors Xin Li, Michael T. Orchard
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