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
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;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.312812
