关键词: 图像压缩, 矢量量化, 人工蜂群, 码书设计, 码字搜索

Abstract: A new vector quantization image compression algorithm based on an improved artificial bee colony was proposed for improving the quality of the code book. In this method, Mean Squared Error (MSE) was used as fitness function and the improved artificial bee colony algorithm was used to optimize it. The self-organization and convergence of the algorithm were improved. At the same time, the possibility of falling into local convergence was reduced. In order to reduce calculation amount of the algorithm, a fast codebook search idea based on sum of vectors was inroduced into the process of fitness function calculation. The simulation results show that the algorithm has the advantages of time-saving calculation and rapid convergence, and the quality and robustness of the codebook generated by this algorithm are good.

Key words: image compression, vector quantization, artificial bee colony, codebook design, codeword search