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
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;
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
DOI :
10.1109/TENCON.1993.327996
