DocumentCode :
1456714
Title :
A progressively predictive image pyramid for efficient lossless coding
Author :
Qiu, Guoping
Author_Institution :
Sch. of Comput. & Math., Univ. of Derby, UK
Volume :
8
Issue :
1
fYear :
1999
fDate :
1/1/1999 12:00:00 AM
Firstpage :
109
Lastpage :
115
Abstract :
A low entropy pyramidal image data structure suited for lossless coding and progressive transmission is proposed in this work. The new coder, called the progressively predictive pyramid (PPP) is based on the well-known Laplacian pyramid. By introducing inter-resolution predictors into the original Laplacian pyramid, we show that the entropy level in the original pyramid can be reduced significantly. To take full advantage of progressive transmission, a scheme is introduced to create the predictor adaptively, thus eliminating the need to transmit the predictor and reducing the coding overheads. A method for designing the predictor is presented. Numerical results show that PPP is superior to traditional approaches to pyramid generation in the sense that the pyramids generated by PPP always have significantly lower entropy values
Keywords :
data structures; entropy; image coding; prediction theory; visual communication; Laplacian pyramid; PPP; coding overhead; efficient lossless coding; inter-resolution predictors; low entropy pyramidal image data structure; progressive transmission; progressively predictive image pyramid; progressively predictive pyramid; pyramid generation; Biomedical imaging; Data structures; Design methodology; Entropy; Filtering; Image coding; Image resolution; Laplace equations; Propagation losses; Remote sensing;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.736699
Filename :
736699
Link To Document :
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