Compression of color skin tumor images with vector quantization

Author

Guo, Lu ; Umbaugh, Scott ; Cheng, Yue

Author_Institution

Dept. of Electr. & Comput. Eng., Southern Illinois Univ., Edwardsville, IL, USA

Volume

20

Issue

6

fYear

2001

Firstpage

152

Lastpage

164

Abstract

Performing compression in DWT and DCT domains is shown to reduce storage space and transmissions cost of digital images.

Keywords

discrete cosine transforms; discrete wavelet transforms; image coding; image colour analysis; medical image processing; principal component analysis; skin; tumours; vector quantisation; bit allocation; codebook design; color skin tumor images; compression quality; compression ratio; digital images; discrete cosine transform; discrete wavelet transform; image compression; image-processing software package; principal components transform; reduced storage space; reduced transmission costs; vector quantization; Compression algorithms; Costs; Discrete cosine transforms; Image coding; Image storage; Skin neoplasms; Testing; Transform coding; Ultrasonic imaging; Vector quantization; Algorithms; Color; Feasibility Studies; Humans; Image Processing, Computer-Assisted; Information Storage and Retrieval; Photography; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Skin Neoplasms; Software;

fLanguage

English

Journal_Title

Engineering in Medicine and Biology Magazine, IEEE

Publisher

ieee

ISSN

0739-5175

Type

jour

DOI

10.1109/51.982287

Filename

982287