DocumentCode
1376499
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
Volume
6
Issue
4
fYear
1997
fDate
4/1/1997 12:00:00 AM
Firstpage
601
Lastpage
608
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;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.563325
Filename
563325
Link To Document