Title :
A Novel Algorithm of Image Vector Quantization and VLSI Implementation Architecture
Author :
Ruliang, Zhang ; Yong, Gao ; Ninmei, Yu ; Dongfang, Wang
Author_Institution :
Xi´´an Univ. of Technol., Xi´´an
Abstract :
One of the main drawbacks of vector quantization (VQ) image compression is computation complexity in encoding process. A novel algorithm based on cross mean order codebook, is presented to reduce codeword search computation, and its VLSI implementation architecture of VQ encoder is proposed. The FPGA implementation results show that the proposed architecture will reduce three-quarter coding computation complexity and be capable of real-time coding rate of 45 frames per second at 50 MHz system clock.
Keywords :
VLSI; field programmable gate arrays; image coding; vector quantisation; FPGA implementation; VLSI implementation architecture; VQ encoder; codeword search computation; cross mean order codebook; encoding process; image compression; image vector quantization; real-time coding rate; three-quarter coding computation complexity; Computer architecture; Decoding; Delta modulation; Distortion measurement; Image coding; Image reconstruction; Performance gain; Size measurement; Vector quantization; Very large scale integration; VLSI; algorithm; image; vector quantization;
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
DOI :
10.1109/ICEMI.2007.4350829
