Medical image compression using the characteristics of human visual system

Author

Chee, Youngjoon ; Park, KwangSuk

Author_Institution

Dept. of Biomed. Eng., Seoul Nat. Univ., South Korea

fYear

1994

Firstpage

618

Abstract

In image compression, we must adopt the proper distortion measure. But the MSE (Mean Square Error) is used in almost every algorithm without any consideration. To evaluate the distortion perceived by HVS (human visual system) and use it as a performance index for image compression, the distortion measure that reflects the characteristics of perceptive HVS should be considered. In such a point of view, we proposed the multi-stage hybrid block coding scheme using JND (Just Noticeable Difference) curve, polynomial approximation and BTC (Block Truncation Coding). Results show that this method can be applied to several kinds of medical images with the compression ratio of 5-10:1 without any noticeable distortion

Keywords

biomedical imaging; block codes; data compression; image coding; medical image processing; visual perception; BTC; Block Truncation Coding; JND curve; Just Noticeable Difference; Mean Square Error; algorithm; distortion measure; human visual system; medical image compression; multi-stage hybrid block coding scheme; perceptive HVS; performance index; polynomial approximation; Biomedical imaging; Biomedical measurements; Block codes; Distortion measurement; Humans; Image coding; Lighting; Mean square error methods; Nonlinear distortion; Performance analysis; Polynomials; Visual system;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE

Print_ISBN

0-7803-2050-6

Type

conf

DOI

10.1109/IEMBS.1994.411874

Filename

411874