会议专题

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

第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

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)