Abstract: In order to enhance quality of sea hazy images,this paper presents a method of dehazing for sea hazy images. It uses the mean shift method and edge detection method of embedding confidence for image segmentation of a sea hazy image,and applies the morphological dilation and erosion operations with binarization to extract regional and non-regional sky area in the hazy image,and finally dehazes the sky area with restricted contrast histogram equalization algorithm,and non-sky area with dark channel prior with guided filtering. The guided filter computes the filtering output by considering the content of a guidance image,and achieves similar results of refining transmission maps compared with the soft matting method,but needs less computation cost. Experimental results show that relative to the dark channel priority method,the proposed method does not provide the transition area and the phenomenon of color cast in the sky area,and achieves high performance of haze removal.

Key words: sea image, haze removal method, image segmentation, sky area, mean shift, dark channel prior

摘要： 为提高雾天海面图像的质量,提出面向单幅海面图像的去雾方法。将均值漂移方法与嵌入置信度的边缘 检测方法相结合进行图像分割,分割后的图像用形态学膨胀与腐蚀操作进行二值化,提取出天空区域和非天空区 域。对天空区域使用限制对比度直方图均衡算法去雾,非天空区域使用基于导向滤波的暗通道优先算法去雾。导 向滤波通过导向图像内容来计算滤波输出,在精细化透射图方面可以得到与软抠图方法类似的效果,计算开销较 小。实验结果表明,相对于暗通道优先方法,该方法在天空区域没有明显的过渡区域和偏色现象,可取得较好的去 雾效果。

关键词: 海面图像, 去雾方法, 图像分割, 天空区域, 均值漂移, 暗通道优先

CLC Number: 

• TP391.41