Title :
An Improved Visual Pruning Algorithm for Perceptually Lossless Medical Image Coding
Author :
Wu, David ; Tan, Damian M. ; Wu, Hong Ren
Author_Institution :
Sch. of Electr. & Comput. Eng., R. Melbourne Inst. of Technol., Melbourne, VIC
Abstract :
An improved algorithm for perceptually lossless coding of medical images is presented in this paper. Built on the JPEG 2000 coding framework, the proposed coder combines an improved visual pruning algorithm with an advanced model of the human visual system to identify and to remove visually insignificant/irrelevant information. Current results have shown superior compression ratio gains over that of its lossless counterparts without any loss in visual fidelity.
Keywords :
image coding; medical image processing; JPEG 2000 coding; compression ratio; human visual system; lossless medical image coding; visual pruning algorithm; Australia; Biomedical engineering; Biomedical imaging; Humans; Image coding; Medical diagnostic imaging; Medical services; Partitioning algorithms; Transform coding; Visual system;
Conference_Titel :
TENCON 2005 2005 IEEE Region 10
Conference_Location :
Melbourne, Qld.
Print_ISBN :
0-7803-9311-2
Electronic_ISBN :
0-7803-9312-0
DOI :
10.1109/TENCON.2005.301333
