Perceptually lossless medical image coding

被引：32

作者：

Wu, D

Tan, DM

Baird, M

DeCampo, J

White, C

Wu, HR

机构：

[1] Monash Univ, Sch Comp Sci & Software Engn, Melbourne, Vic 3800, Australia

[2] Monash Univ, Dept Med Imaging & Radiat Sci, Melbourne, Vic 3800, Australia

[3] So Hlth Monash Med Ctr, Dept Diagnost Imaging, Melbourne, Vic 3168, Australia

[4] Monash Univ, Sch Business Syst, Clayton, Vic 3800, Australia

来源：

IEEE TRANSACTIONS ON MEDICAL IMAGING | 2006年 / 25卷 / 03期

关键词：

biomedical imaging; double blind testing; image coding; just-not-noticeable-; difference; medical image coding; perceptually lossless image coding; 2-staged forced choice; vision model;

D O I：

10.1109/TMI.2006.870483

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A novel perceptually lossless coder is presented for the compression of medical images. Built on the JPEG 2000 coding framework, the heart of the proposed coder is a visual pruning function, embedded with, an advanced human vision model to identify and to remove visually insignificant/irrelevant information. The proposed coder offers the advantages of simplicity and modularity with bit-stream compliance. Current results have shown superior compression ratio gains over that of its information lossless counterparts without any visible distortion. In addition, a case study consisting of 31 medical experts ha shown that no perceivable difference of statistical significance exists between the original images and the images compressed by the proposed coder.

引用

页码：335 / 344

页数：10

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