A Self-Adaptive Method of Image Contrast Enhancement Based on Artificial Bee Colony Algorithm

摘要：

To stretch image contrast and provide with more detail information, based on Artificial Bee Colony (ABC) algorithm and Incomplete Beta Function, this paper proposes a novel adaptive image enhancement method. The main idea is to employ ABC algorithm to select the optimal parameters of Incomplete Beta Function, which corresponds to the best curve of grayscale transformation. Our experimental results show that the new method not only is fast and efficient, but also is superior to some traditional methods, such as histogram equalization, unsharp masking, and Genetic Algorithm based methods.

关键词： image enhancement Incomplete Beta Function Artificial Bee Colony Algorithm

作者: Miao Ma Shengrong Ding Yanfei Zhu

作者单位: College of Computer Science, Shaanxi Normal University, Xian, Shannxi, China School of Computer Sci College of Computer Science, Shaanxi Normal University, Xian, Shannxi, China

会议类型: 国际会议

会议名称: 2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)

会议地点: 上海

会议语种:英文

页码: 504-507

在线出版日期: 2010-12-25（万方平台首次上网日期，不代表论文的发表时间）