Lossy-to-Lossless Compression of Images Based on Binary Tree Decomposition

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.

• Type: Conference
• Year: 2006
• Where: ICIP
• Authors: António J. R. Neves, Armando J. Pinho
• Keywords: Binary Tree Decomposition, Compression Standard, Context-based Arithmetic Coding, ICIP 2006, Image Processing, Lossless Compression Gain