A DEHAZING ALGORITHM USING DARK CHANNEL PRIOR AND CONTRAST ENHANCEMENT

被引:0
作者
Kil, Tae Ho [1 ]
Lee, Sang Hwa [1 ]
Cho, Nam Ik [1 ]
机构
[1] Seoul Natl Univ, INMC, Dept Elect & Comp Eng, Seoul 151, South Korea
来源
2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2013年
关键词
dehazing; image enhancement; image restoration; dark channel prior; contrast enhancement;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
This paper proposes a dehazing algorithm based on dark channel prior and contrast enhancement approaches. The conventional dark channel prior method removes haze and thus restores colors of objects in the scene, but it does not consider the enhancement of image contrast. On the contrary, the image contrast method improves the local contrast of objects, but the colors are often distorted due to the overstretching of contrast. The proposed algorithm combines the advantages of these two conventional approaches for keeping the color while dehazing. For this, an optimization function is proposed to balance between the contrast and colors distortion, where the contrast measure follows the conventional image statistics and the hue component is used to constrain the color changes. According to the experimental results, the proposed approach compensates for the disadvantages of conventional methods, and enhances contrast with less color distortion.
引用
收藏
页码:2484 / 2487
页数:4
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