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Efficient general-purpose image compression with binary tree predictive coding

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1 Author(s)
J. A. Robinson ; Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada

Binary tree predictive coding uses a noncausal, shape-adaptive predictor to decompose an image into a binary tree of prediction errors and zero blocks. Fast compression performance is comparable with Joint Photographers Expert Group (JPEG) for photographs, with Graphics Interchange Format (GIF) for graphics, and superior to the state of the art for composite images

Published in:

IEEE Transactions on Image Processing  (Volume:6 ,  Issue: 4 )