摘要
提出了一种基于视网膜高动态范围亮度适应和视觉通路侧抑制竞争机制的图像增强算法.该算法首先对降质图像采用修正的TAN函数实现全局亮度的自适应映射,再采用通过向非循环侧抑制方程引入中心兴奋/抑制因子而改进视网膜ON/OFF双拮抗响应模型增强图像的局部细节.实验结果表明,该算法能有效地自适应调整过亮和过暗区域的亮度,突出其细节信息,保持其原始色彩表现,明显改善了彩色图像的整体视觉效果.
This paper propose a high dynamic range（HDR） image enhancement algorithm which is based on the retinal brightness adaptation and lateral inhibition competition mechanism of ganglion cells.First,the degraded image is processed with the modified TAN function to implement the adaptive mapping of global brightness.Then,an ON/OFF dual antagonist model improved by introducing the factor of central excitement/inhibitor is used to enhance the local details.Experimental result shows that this algorithm could adjust adaptively the brightness of image areas at which the brightness is over-bright or dark,effectively.The color information of details is highlighted and the original color performance would be preserved.As a whole,the overall visual perception of the color image is significantly improved.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2012年第4期415-419,共5页
Transactions of Beijing Institute of Technology
基金
国家自然科学基金资助项目(60702017)
关键词
机器视觉
全局亮度自适应
侧抑制网络
machine vision
global brightness adaptation
lateral inhibition network
