Visually lossless adaptive compression of medical images

Author

Wu, David ; Tan, D.M. ; Wu, H.R.

Author_Institution

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

Volume

1

fYear

2003

fDate

15-18 Dec. 2003

Firstpage

458

Abstract

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 (A. Said et al., June 1996). 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 (M. Weinberger et al., 1996) coder without any deterioration in image fidelity.

Keywords

data compression; distortion; image coding; medical image processing; tree data structures; adaptive medical image compression; adaptive vision model; image fidelity; image quality; medical image encoding; set partition in hierarchical trees coder; visible distortions; visually lossless coding; Biomedical imaging; Computer science; Frequency; Humans; Image coding; Image decomposition; Medical diagnostic imaging; Neurons; Telemedicine; Ultrasonic imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing, 2003 and Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference on

Print_ISBN

0-7803-8185-8

Type

conf

DOI

10.1109/ICICS.2003.1292494

Filename

1292494