A Modified Haze Removal Algorithm Using Dark Channel Prior

Abstract:

In this paper, we propose a new algorithm to remove haze from a single input image. Based on the Dark Channel Prior proposed by He [1], we exploit the Gauss Bilateral Filter and the min operation to obtain an edge-preserving dark channel image, which is non-iterative, requires less time. We further utilize this dark channel image to extract the estimation of medium transmission, and finally recover a haze-free image from that. Furthermore, we use a self-adaptive algorithm to set the haze parameters to solve the color shift problem for large sky region. Experiments demonstrate our algorithm can effectively remove haze from a foggy image while keep edges sharp.

• Periodical: Advanced Materials Research (Volumes 457-458)
• Pages: 1397-1402
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.457-458.1397
• Online since: January 2012
• Authors: Xiao Tian Wu, Xing Hao Ding, Quan Xiao
• Keywords: Bilateral Filter, Dark-Channel Prior, Haze Removal, Refined Dark Channel Image, Self-Adaptive Haze Parameter

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