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
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;
Conference_Titel :
Data Compression Conference, 1996. DCC '96. Proceedings
Conference_Location :
Snowbird, UT
Print_ISBN :
0-8186-7358-3
DOI :
10.1109/DCC.1996.488379