Title :
Efficient general-purpose image compression with binary tree predictive coding
Author :
Robinson, John A.
Author_Institution :
Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
fDate :
4/1/1997 12:00:00 AM
Abstract :
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
Keywords :
data compression; image coding; prediction theory; trees (mathematics); GIF; Graphics Interchange Format; JPEG; Joint Photographers Expert Group; binary tree predictive coding; general-purpose image compression; graphics; image decomposition; noncausal shape-adaptive predictor; photographs; prediction errors; zero blocks; Arithmetic; Binary trees; Decoding; Entropy; Graphics; Image coding; Predictive coding; Quantization; Transform coding; Wavelet transforms;
Journal_Title :
Image Processing, IEEE Transactions on
