DocumentCode
1572256
Title
Lossy-to-Lossless Compression of Images Based on Binary Tree Decomposition
Author
Pinho, Armando J. ; Neves, Antonio J. R.
Author_Institution
Signal Process. Lab., Aveiro Univ., Portugal
fYear
2006
Firstpage
2257
Lastpage
2260
Abstract
A new lossy-to-lossless quality-progressive method for image coding is presented. This method is based on binary tree decomposition and context-based arithmetic coding. Experimental results obtained with the eighteen 8-bit ISO images show that the proposed method attains an average lossless compression gain of 7.9% with respect to JPEG2000. Compared to JPEG-LS, the compression gain is 3.1%, but this compression standard does not allow lossy-to-lossless decoding.
Keywords
arithmetic codes; data compression; image coding; image reconstruction; image resolution; trees (mathematics); 8-bit ISO images; JPEG2000; binary tree decomposition; context-based arithmetic coding; image coding; lossy-lossless compression; quality-progressive method; Arithmetic; Binary trees; Decoding; Encoding; ISO standards; Image coding; Image reconstruction; Signal processing; Tin; Transform coding; Image coding; data compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2006 IEEE International Conference on
Conference_Location
Atlanta, GA
ISSN
1522-4880
Print_ISBN
1-4244-0480-0
Type
conf
DOI
10.1109/ICIP.2006.312812
Filename
4107015
Link To Document