退化过程模拟模型及其在图像增强中的应用  

Degradation process simulation model and its use in image enhancement

作　　者：李权合[1] 毕笃彦[1] 何林远[1] 

机构地区：[1]空军工程大学工程学院,陕西西安710038

出　　处：《西安电子科技大学学报》2011年第6期185-192,共8页Journal of Xidian University

基　　金：国家部委重点实验室基金资助项目(9140C610301080C6106)

摘　　要：模拟了图像的退化过程,在融入邻域间干扰、光照不均和媒介传递率下降的前提下,提出了退化过程模拟模型.依据人眼视觉机制的对比灵敏度、亮度适应能力和侧抑制现象,提出了该模型的视觉适应性解:(1)去卷积,消除邻近像素间的相互影响,提升图像细节;(2)亮度调整,抑制高亮区域的亮度,提升偏暗区域的亮度,均衡外部光照;(3)消除剩余光照图像,恢复图像的颜色和细节,得到视觉适应性良好的图像.实验表明,针对退化过程模拟模型得到的视觉适应性解,与现有图像增强算法相比,在增强图像细节、提升全局对比度、增强结果的视觉愉悦性方面均取得了较大进步.In order to direct image enhancement better,we propose a Degradation Process Simulation Model by simulating the process of image degradation,mutual effects from adjacent pixels,not well-proportioned illumination,as well as the decline of the medium transfer ratio,are taken into account in the new model.A vision adaptability solution for the model is proposed according to the human visual system,including contrast sensitivity,brightness adaptive faculty and lateral inhibition.There are three processes in the solution： Firstly,deconvolution is applied to eliminate the adjacent pixels＇ mutual effects and upgrade the details;secondly,intensity adjustment is applied to gloom the bright area,brighten the dark area and balance illumination;thirdly,extra lightness removal is applied to recover the image＇s color and details,and then get the visual pleasing image.Compared with some preexisting image enhancement algorithms,it can be found in experimental results that the applications of the proposed algorithm yield some promising results in getting more details,upgrading the contrast,and having better visual pleasing characters.

关 键 词：图像增强 人眼视觉系统 图像退化模型 侧抑制 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]