DocumentCode
1985358
Title
Unbalanced tree-growing algorithms for practical image compression
Author
Oehler, Karen L. ; Riskin, Eve A. ; Gray, Robert M.
Author_Institution
Inf. Syst. Lab., Stanford Univ., CA, USA
fYear
1991
fDate
14-17 Apr 1991
Firstpage
2293
Abstract
A vector quantization compression system is presented which is suitable for use in commercial applications, i.e., efficient enough to encode a wide variety of images and simple enough to decode the images in real time using software (for machine compatibility). A fixed-rate code with unbalanced tree structure is used, and a method of unbalanced tree growing is extended. Simple prediction techniques are applied to improve coded image quality
Keywords
computerised picture processing; data compression; encoding; filtering and prediction theory; trees (mathematics); coded image quality; compression system; decoding; encoding; fixed-rate code; image coding; image compression; machine compatibility; prediction techniques; software; unbalanced tree growing algorithms; unbalanced tree structure; vector quantization; Algorithm design and analysis; Color; Compression algorithms; Decoding; Image coding; Image quality; Information systems; Laboratories; Table lookup; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location
Toronto, Ont.
ISSN
1520-6149
Print_ISBN
0-7803-0003-3
Type
conf
DOI
10.1109/ICASSP.1991.150753
Filename
150753
Link To Document