IJE TRANSACTIONS A: Basics Vol. 30, No. 10 (October 2017) 1471-1478    Article in Press

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X. Zhou, L. Bai and C. Wang
( Received: February 28, 2017 – Accepted in Revised Form: July 07, 2017 )

Abstract    The sky regions of foggy image processed by all the existing conventional dehazing methods are degraded by color distortion and severe noise. This paper proposes an improved algorithm which combines dark channel prior and inverse image. We first invert the foggy image, and then estimate the transmission of the inverse image. At last, compared with the non-inversed transmission, the larger values of the transmission are the final transmission. This algorithm tends to refine the medium transmission by adjusting the values of pixels in the bright region to meet the hypothesis of dark channel prior. The method is viable to eliminate color distortion of the dehazed image.


Keywords    image dehazing, haze removal, dark channel prior, inverse image


چکیده    ناحیه های آسمان با تصاویر مه آلود که با روشهای متعارف تحت فرآیند های موجود مه زدایی قرار می گيرند با اعوجاج رنگ و نویز شدید بدترمی شوند. این مقاله الگوریتم بهبود یافته ای را ارائه می کند که کانال تاریک اولیه(Dark Channel Prior) را با تصويروارون ترکیب می کند. ابتدا تصویر مه آلود را وارون می کنیم و سپس انتقال این تصوير وارون شده را تخمین می زنیم. سرانجام در مقایسه با تصوير وارون نشده بزرگترین مقادیر انتقال، همان مقادیر انتقال نهایی می باشند. این الگوریتم تمایل دارد که محیط انتقال را با تنظیم پیکسل های ناحیه روشن پالایش کند تا فرض کانال تاریک اولیه را برآورده سازد. این روش برای حذف اعوجاج رنگ تصویر ابهام زدایی شده مناسب است.


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