DocumentCode :
866982
Title :
Prioritized DCT for compression and progressive transmission of images
Author :
Huang, Yunming ; Dreizen, Howard M. ; Galatsanos, Nikolas P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
Volume :
1
Issue :
4
fYear :
1992
fDate :
10/1/1992 12:00:00 AM
Firstpage :
477
Lastpage :
487
Abstract :
An approach is based on the block discrete cosine transform (DCT). The novelty of this approach is that the transform coefficients of all image blocks are coded and transmitted in absolute magnitude order. The resulting ordered-by-magnitude transmission is accomplished without sacrificing coding efficiency by using partition priority coding. Coding and transmission are adaptive to the characteristics of each individual image. and therefore, very efficient. Another advantage of this approach is its high progression effectiveness. Since the largest transform coefficients that capture the most important characteristics of images are coded and transmitted first, this method is well suited for progressive image transmission. Further compression of the image-data is achieved by multiple distribution entropy coding, a technique based on arithmetic coding. Experiments show that the approach compares favorably with previously reported DCT and subband image codecs
Keywords :
data compression; discrete cosine transforms; image coding; visual communication; DCT; arithmetic coding; block discrete cosine transform; coding efficiency; image compression; multiple distribution entropy coding; ordered-by-magnitude transmission; partition priority coding; progressive image transmission; transform coding; Arithmetic; Codecs; Discrete cosine transforms; Discrete transforms; Entropy coding; Helium; Image coding; Image communication; Source coding; Testing;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.199917
Filename :
199917
Link To Document :
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