基于暗原色先验的APEX图像复原算法  

Image restoration algorithm using APEX method based on dark channel prior

作　　者：张勇[1] 王好贤[1] 李方[1] 毛兴鹏[1] 潘为民[2] 梁卫[2] 

机构地区：[1]哈尔滨工业大学(威海)信息科学与工程学院,山东威海264209 [2]青岛市公安局科技处,山东青岛266000

出　　处：《计算机应用》2011年第9期2509-2511,共3页journal of Computer Applications

基　　金：国家973计划项目(2007CB310606);青岛市公共领域科技支撑计划资助项目(09-1-1-63-NSH)

摘　　要：为满足有效性和处理速度的要求,结合暗原色先验的参数估计,将用于模糊处理的近似点扩展函数估计(APEX)用于天气退化图像复原。考虑到不同天气条件下、不同大小的图像其APEX参数不一致,算法能够针对不同浓度的沙尘、雾动态调整估计参数;而且与大多数多幅图像输入的复原方法不同,算法针对单幅图像进行处理。仿真结果表明算法具有很好的实用性。为进一步改善视觉效果,基于颜色恒常性能够均衡图像中光源颜色分量不均匀造成的影响,对复原图像进行了颜色恒常性处理。In order to meet the demands for both availability and processing speed, in reference to dark channel prior estimation, an image restoration algorithm based on Approximate Point Spread Function Examining （APEX） algorithm commonly used in image deblurring was proposed. Meanwhile, because different-sized images under different weather conditions have different APEX parameters, the APEX parameter value was adjusted dynamically according to sandstorm and fog degree. Furthermore, unlike other multiple images methods, the proposed algorithm needs only one image to be the input. The experimental results show that the proposed algorithm is effective in restoring images. By using color constancy algorithm, the source color components were balanced; furthermore, the visual effect of images was enhanced.

关 键 词：图像复原 APEX算法 暗原色先验 动态参数估计 颜色恒常性 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]