Perceptually lossless medical image coding

Author

Wu, David ; Tan, Damian M. ; Baird, Marilyn ; DeCampo, John ; White, Chris ; Hong Ren Wu

Author_Institution

Sch. of Comput. Sci. & Software Eng., Monash Univ., Melbourne, Australia

Volume

25

Issue

3

fYear

2006

fDate

3/1/2006 12:00:00 AM

Firstpage

335

Lastpage

344

Abstract

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 has shown that no perceivable difference of statistical significance exists between the original images and the images compressed by the proposed coder.

Keywords

biomedical MRI; computerised tomography; diagnostic radiography; image coding; medical image processing; JPEG 2000 coding; advanced human vision model; bit-stream compliance; perceptually lossless coder; perceptually lossless medical image coding; visual pruning function; Australia; Biomedical imaging; Computer science; Degradation; Digital images; Image coding; Image storage; Magnetic resonance imaging; Medical diagnostic imaging; Radiography; 2-staged forced choice; Biomedical imaging; double blind testing; image coding; just-not-noticeable- difference; medical image coding; perceptually lossless image coding; vision model; Algorithms; Computer Graphics; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/TMI.2006.870483

Filename

1599447