Dehazing with Offset Correction and a Weighted Residual Map

doi:10.3390/electronics9091419

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	Dehazing with Offset Correction and a Weighted Residual Map
	C. Su,W. S. Wang,X. X. Zhang and L. X. Jin
刊名	Electronics
	2020
卷号	9 期号:9 页码:16
DOI	10.3390/electronics9091419
英文摘要	In hazy environments, image quality is degraded by haze and the degraded photos have reduced visibility, making the less vivid and visually attractive. This paper proposes a method for recovering image information from a single hazy image. The dark channel prior algorithm tends to underestimate the transmission of bright areas. To address this problem, an improved dehazing algorithm is proposed in this paper. Assuming that intensity in a dark channel affected by haze produces the same offset, the expected value of the dark channel of a hazy image is used as an approximation of this offset to correct the transmission. However, this correction may neglect scene difference and affect the clarity of the recovered images. Therefore, a weighted residual map is used to enhance contrast and recover more information. Experimental results demonstrate that our algorithm can effectively lessen color oversaturation and restore images with enhanced details. This algorithm provides a more accurate transmission estimation method that can be used with a weighted residual map to eliminate haze and improve contrast.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/64398]
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	C. Su,W. S. Wang,X. X. Zhang and L. X. Jin. Dehazing with Offset Correction and a Weighted Residual Map[J]. Electronics,2020,9(9):16.
APA	C. Su,W. S. Wang,X. X. Zhang and L. X. Jin.(2020).Dehazing with Offset Correction and a Weighted Residual Map.Electronics,9(9),16.
MLA	C. Su,W. S. Wang,X. X. Zhang and L. X. Jin."Dehazing with Offset Correction and a Weighted Residual Map".Electronics 9.9(2020):16.