Visually lossless adaptive compression of medical images

被引：0
|
作者：
Wu, D [1 ]
Tan, DM [1 ]
Wu, HR [1 ]
机构：
[1] Monash Univ, Sch Comp Sci & Software Engn, Clayton, Vic 3800, Australia
来源：
ICICS-PCM 2003, VOLS 1-3, PROCEEDINGS | 2003年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A method for encoding medical images to visually lossless quality is proposed. Visually lossless coding refers to the compression of images without evoking any perceptible degradation in image quality through the suppression of visible distortions. The proposed coding structure is based on the Set Partition in Hierarchical Trees (SPIHT) coder [1]. Added to this is an adaptive vision model designed to identify and removal visually irrelevant information in images prior to encoding. Simulation results of the proposed coder have shown compression improvements over the LOCO [2] coder without any deterioration in image fidelity.
引用
收藏
页码：458 / 463
页数：6
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