A Novel Algorithm of Image Vector Quantization and VLSI Implementation Architecture
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 50MHz system clock.
image algorithm vector quantization VLSI
Zhang Ruliang Gao Yong Yu Ninmei Wang Dongfang
Xian University of Technology,Xian,710048 China
国际会议
西安
英文
2007-08-16(万方平台首次上网日期,不代表论文的发表时间)