Title :
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
fDate :
3/1/2006 12:00:00 AM
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;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2006.870483
