DocumentCode
2651418
Title
A study on the optimal attributes of transform domain vector quantization for image and video compression
Author
Li, Weiping ; Zhang, Ya-Qin
Author_Institution
EECS Dept., Lehigh Univ., Bethlehem, PA, USA
Volume
1
fYear
1993
fDate
23-26 May 1993
Firstpage
401
Abstract
The concept of vector transform coding (VTC) is examined. It is noted that the optimal transform for the purpose of vector quantization should reduce the correlation between the transform domain vectors and preserve the correlation among the components within each vector. An intrinsic coupling factor is defined to quantitatively measure how closely the components are coupled within a vector, and a bit-allocation mechanism is derived to assign bits to the transform domain vectors. Following the guidance of such a general study, a new scheme is proposed for image and video compression. Simulation results show excellent subjective quality at a bit-rate of 3.3 Mb/s
Keywords
correlation methods; image coding; transform coding; vector quantisation; video coding; 3.3 Mbit/s; bit-allocation mechanism; correlation; image compression; intrinsic coupling factor; quality; transform domain vector quantization; vector transform coding; video compression; Compaction; Decorrelation; Discrete cosine transforms; Discrete transforms; Image coding; Pixel; Transform coding; Vector quantization; Video coding; Video compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 1993. ICC '93 Geneva. Technical Program, Conference Record, IEEE International Conference on
Conference_Location
Geneva
Print_ISBN
0-7803-0950-2
Type
conf
DOI
10.1109/ICC.1993.397295
Filename
397295
Link To Document