DocumentCode
3266468
Title
A codebook design technique for better image quality in vector quantization
Author
Ling, Nam ; Li, Jui-Hua
Author_Institution
Dept. of Comput. Eng., Santa Clara Univ., CA, USA
fYear
1996
fDate
Mar/Apr 1996
Firstpage
447
Abstract
In VQ design, large codebooks are required for better image quality, while less codebook search and memory are desired for better computational efficiency and compression ratio. In this paper, we present an approach to increase the amount of VQ codebook patterns to improve image quality without a large overhead on the codebook memory and search time. Basically, our approach characterizes a pattern into a key value, which is used in codebook search
Keywords
image coding; search problems; vector quantisation; VQ design; codebook design technique; compression ratio; computational efficiency; image quality; key value; search; vector quantization; Binary trees; Books; Computational efficiency; Design engineering; Encoding; Image coding; Image quality; Pixel; Reflection; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 1996. DCC '96. Proceedings
Conference_Location
Snowbird, UT
ISSN
1068-0314
Print_ISBN
0-8186-7358-3
Type
conf
DOI
10.1109/DCC.1996.488379
Filename
488379
Link To Document