摘要：

针对传统自动色彩均衡化(ACE)算法增强后的图像局部效果较差、运算速度较慢等问题，提出一种基于人眼侧抑制机制的ACE算法。ACE算法模拟人眼的侧抑制机制，在目标点周边选取符合侧抑制有效作用范围的二维圆形区域，并在该区域内选取服从高斯分布的采样点，将目标点和采样点进行差分比较，增强对比度。该算法能使运算集中在相关度较高的像素点内，降低算法复杂度。实验结果表明，该算法具有较好的细节增强效果及较快的处理速度。

关键词: 自动色彩均衡化算法, 侧抑制机制, 高斯分布, 二维圆形区域, 对比度, 复杂度

Abstract:

This paper proposes an Automatic Color Equalization(ACE) algorithm based on human eye lateral inhibition to solve the problems emerge after using traditional ACE, such as, poor local result, low speed. The algorithm simulates the human eye lateral inhibition mechanism, and selects the two-dimensional circular region around the target point that satisfies accords with the effective scope of the lateral inhibition. And then it selects the sampling point that obeys the Gaussian distribution. At last, it makes a differential comparison between the target point and sampling point to enhance contrast. The proposed algorithm reduces complexity as the operating is centralized among the pixels with high correlation. Experimental results show the proposed algorithm has a good details enhancement and faster processing speed.

Key words: Automatic Color Equalization(ACE) algorithm, lateral inhibition mechanism, Gaussian distribution, two- dimensional circular region, contrast, complexity

中图分类号: 

• TP391.41