Improving Dark Channel Prior for Single Image Dehazing

سال انتشار: 1394
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 546

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شناسه ملی سند علمی:

JR_IJE-28-6_008

تاریخ نمایه سازی: 15 آذر 1394

چکیده مقاله:

This paper proposes an improved dark channel prior for removing haze from images. Dark channel prior is an effective method for removing haze. Dark channel is an image in the same size as the hazy image which is obtained by dividing the RGB images into windows and for each window, theminimum of each R, G and B channels are calculated. Then again the minimum of these three values is calculated and is replaced on all pixels in that window. For removing haze from images by darkchannel prior, it is necessary to find transmission coefficient of haze and for this, airlight must beestimated. By having these factors, haze-free images can be restored. The dark channel prior method does not yield favorable results for some images, especially for those containing smooth regions. Toovercome this deficiency of the dark channel prior approach, the hazy image is initially segmented intosmooth and non-smooth regions in this paper. Then for removing haze from smooth regions, the Gamma correction approach is used for contrast enhancement. Finally, for non-smooth regions,depending to the severity of haze, dark channel prior might be applied several times. The subjectiveand objective image quality assessments attest superiority of the proposed method compared to dark channel prior in haze removing.

نویسندگان

H Hassanpour

Department of Computer Engineering, Shahrood University of Technology, Shahrood, Iran

F Azari

Department of Computer Engineering, Shahrood University of Technology, Shahrood, Iran

S Asadi

Department of Computer Engineering, Shahrood University of Technology, Shahrood, Iran