DocumentCode
2143215
Title
An adaptive hierarchical image coding technique using transform vector quantization
Author
Jihong Zhang ; Youli Bao
Author_Institution
Dept. of Electron. Eng., Shenzhen Univ., Guangdong, China
Volume
3
fYear
1993
fDate
19-21 Oct. 1993
Firstpage
357
Abstract
We developed an adaptive hierarchical transform vector quantization (AHTVQ) coding technique which applies discrete cosine transform (DCT) coding of variable image block-size in combination with adaptive vector quantization (VQ) coding. To reduce complexity the subvectors are quantized with a cascaded VQ instead of full-search VQ (FSVQ). Simulation results presented show that compression rates and subjective quality compare favourably with methods previously described.<>
Keywords
discrete cosine transforms; image coding; vector quantisation; DCT coding; adaptive hierarchical image coding; adaptive vector quantization; cascaded VQ; compression rates; discrete cosine transform; simulation results; subjective image quality; subvectors; transform vector quantization; variable image block-size; Data structures; Discrete cosine transforms; Frequency; Image coding; Pixel; Tail; Testing; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location
Beijing, China
Print_ISBN
0-7803-1233-3
Type
conf
DOI
10.1109/TENCON.1993.327996
Filename
327996
Link To Document