SINGLE IMAGE DEHAZING BASED ON CONTRAST ENHANCEMENT

被引：0
|
作者：
Kim, Jin-Hwan [1 ]
Sim, Jae-Young [2 ]
Kim, Chang-Su [1 ]
机构：
[1] Korea Univ, Sch Elect Engn, Seoul, South Korea
[2] Ulsan Natl Inst Sci & Technol, Sch Elect & Comp Engn, Ulsan, South Korea
来源：
2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2011年
基金：
新加坡国家研究基金会;
关键词：
Image enhancement; image restoration; contrast enhancement; and single image dehazing;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
A simple and adaptive single image dehazing algorithm is proposed in this work. Based on the observation that a hazy image has low contrast in general, we attempt to restore the original image by enhancing the contrast. First, the proposed algorithm estimates the airlight in a given hazy image based on the quad-tree subdivision. Then, the proposed algorithm estimates the transmission map to maximize the contrast of the output image. To measure the contrast, we develop a cost function, which consists of a standard deviation term and a histogram uniformness term. Experimental results demonstrate that the proposed algorithm can remove haze efficiently and reconstruct fine details in original scenes clearly.
引用
收藏
页码：1273 / 1276
页数：4
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