19 بهمن 1401
سكينه اسدي اميري

سکینه اسدی امیری

مرتبه علمی: استادیار
نشانی: دانشگاه مازندران
تحصیلات: دکترای تخصصی / مهندسی کامپیوتر
تلفن: 011-35302901
دانشکده: دانشکده مهندسی و فناوری

مشخصات پژوهش

عنوان Adaptive Image Dehazing via Improving Dark Channel Prior
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها
Dehazing, Image Enhancement, Dark Channel Prior, Segmentation
مجله International Journal of Engineering Transactions A: Basics
شناسه DOI 10.5829/ije.2019.32.02b.10
پژوهشگران فائزه آذری نصرآباد (نفر اول) ، حمید حسن پور (نفر دوم) ، سکینه اسدی امیری (نفر سوم)

چکیده

The dark channel prior (DCP) technique is an effective method to enhance hazy images. Dark channel is an image with the same size as the hazy image which represents the haze severity in different places of the image. The DCP method suffers from two problems: it is incapable for removing haze from smooth regions, causing blocking effects on these areas; it cannot properly reduce a haze with a non-monotonic behavior. In this paper, an adaptive image dehazing method is proposed based on the DCP method to solve the problem of this method. In this method, to overcome the dark channel deficiency of the blocking effects, the dark channel is initially extracted. The hazy image is subsequently segmented into smooth and non-smooth regions. Regarding the smooth regions, the pixel values in the dark channel are reduced by dividing them with a rather great number. To solve the second problem, depending upon the haze severity, the haze removing technique is applied repeatedly until all the regions of the image are enhanced. Finally, the Gamma correction approach is used for contrast enhancement of the smooth regions. The performed subjective and objective comparison attest the superiority of the proposed method to the DCP one in removing the haze.