Modeling of Vector Quantization Image Coding in an Ant Colony System

• 作者: LIXia LUOXuehui ZHANGJihong
• 来源期刊: 电子学报(英文版)
• 学科: 工学
• 关键词: 图像编码 向量量化 蚂蚁算法 ACS
• 年，卷（期）: 2004,（2）
• 页码范围: 305-307
• 页数: 3页
• 分类号: TN919.81
• 语种: 中文

摘要

Ant colony algorithm is a newly emerged stochastic searching optimization algorithm in recent years. In this paper, vector quantization image coding is modeled as a stochastic optimization problem in an Ant colony system (ACS). An appropriately adapted ant colony algorithm is proposed for vector quantization codebook design. Experimental results show that the ACS-based algorithm can produce a better codebook and the improvement of Pixel signal-to-noise ratio (PSNR) exceeds 1dB compared with the conventional LBG algorithm.