DocumentCode
3410661
Title
On-line adaptive vector quantization with variable size codebook entries
Author
Constantinescu, Cornel ; Storer, James A.
Author_Institution
Dept. of Comput. Sci., Brandeis Univ., Waltham, MA, USA
fYear
1993
fDate
1993
Firstpage
32
Lastpage
41
Abstract
A new image compression algorithm employs some of the most successful approaches to adaptive lossless compression to perform adaptive on-line (single pass) vector quantization. The authors have tested this algorithm with a host of standard test images (e.g. gray scale magazine images, medical images, space and scientific images, fingerprint images, and handwriting images) and with no prior knowledge of the data or training, for a given fidelity the compression achieved typically equals or exceeds that of the JPEG standard. The only information that must be specified in advance is the fidelity criterion
Keywords
adaptive filters; image coding; vector quantisation; JPEG standard; adaptive vector quantization; fidelity criterion; image compression algorithm; standard test images; variable size codebook entries; Data structures; Decoding; Dictionaries; Distortion measurement; Encoding; Image coding; Medical tests; Shape; Streaming media; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 1993. DCC '93.
Conference_Location
Snowbird, UT
Print_ISBN
0-8186-3392-1
Type
conf
DOI
10.1109/DCC.1993.253147
Filename
253147
Link To Document