现代电子技术2012，Vol.35Issue(20)：71-73,76,4.
基于暗原色和加权形态学滤波的图像去雾算法
Auto image haze removal algorithm based on dark channel prior and weighted morphological filtering
摘要
Abstract
According to the low visibility and poor contrast of haze images, a new automatic enhancement algorithm based on dark channel prior and weighted morphological filter is proposed. The information of haze density is obtained with dark channel prior. The haze density is estimated with morphological filtering method which can smooth the haze density map and preserve edges of scene, and may make the estimated haze density map more accurately. Finally, a high quality haze-free image is recovered. The experimental results show the proposed method is simple, fast and effective for obtaining good results, and keep the detail edges of images.关键词
图像去雾/暗原色先验/加权形态滤波/大气散射模型Key words
haze removal/dark channel priors weighted morphological filtering/atmospheric scattering model分类
信息技术与安全科学引用本文复制引用
郭艳颖,杨国庆..基于暗原色和加权形态学滤波的图像去雾算法[J].现代电子技术,2012,35(20):71-73,76,4.基金项目
国家自然科学基金资助项目(60776811,604721255) （60776811,604721255）
