Improved Dark Channel Prior for Image Defogging Using RGB and YCbCr Color Space

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dc.contributor.author Zahid Tufail
dc.contributor.author Khawar Khurshid
dc.contributor.author Ahmad Salman
dc.contributor.author Imran Fareed Nizami
dc.contributor.author Khurram Khurshid
dc.contributor.author Byeungwoo Jeon
dc.date.accessioned 2018-12-05T12:42:19Z
dc.date.available 2018-12-05T12:42:19Z
dc.date.issued 2018
dc.identifier.uri http://hdl.handle.net/123456789/7898
dc.description.abstract Environmental factors such as fog and haze affect the image quality and make it unsuitable for automated systems, such as intelligent vehicles, surveillance, and outdoor object recognition, which require images with clear visibility for processing and decision making. In general, reconstruction of fog-free image from a single input image is quite challenging. Dark channel prior (DCP) method is used to estimate atmospheric light for the purpose of image defogging. This paper presents a DCP-based image defogging method with improved transmission map to avoid blocking artifacts. The transmission maps are computed for RGB and YCbCr color spaces. Three transmission maps for the R, G, and B channels are utilized to compute a mean transmission map. In the YCbCr color space, Y channel is used to calculate the transmission map. The two transmission maps are re ned by preserving edge information for constructing two intermediate images, which are assigned different weights to get the enhanced defogged output. The proposed method is evaluated against the current state-of-the-art approaches, and the experimental results based on structural similarity index, fog effect, anisotropic quality index and degradation score are calculated, which show that the defogged images reconstructed using the proposed method achieved better results with lower fog effect, similarity index, degradation score and higher quality index value. Reconstructed image has better contrast and luminance which is perceptually more appealing to the human visual system. en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.relation.ispartofseries ;10.1109/ACCESS.2018.2843261
dc.subject Department of Electrical Engineering 10.1109/ACCESS.2018.2843261 en_US
dc.title Improved Dark Channel Prior for Image Defogging Using RGB and YCbCr Color Space en_US
dc.type Article en_US


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