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Single image depth estimation based on dark channel prior
2013 9th International Conference on Information, Communications & Signal Processing, 2013This paper presents a depth estimation method based on dark channel prior to construct a depth map from a single 2D image of an outdoor scene for 3D display applications. The method computes a depth map using a series of image processing strategies such as dark channel computation, edge detection, the edge-based iterative thresholding technique, the ...
Cheng-Hung Chuang +3 more
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Single Image Dehazing Based on Improved Dark Channel Prior
2015The sky region of restored images often appears serious noise and color distortion using classical dark channel prior algorithm. To address this issue, we propose an improved dark channel prior algorithm which recognizes the sky regions in hazy image by gradient threshold combined with the absolute value of the difference of atmospheric light and dark ...
Taimei Zhang, Youguang Chen
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Single image dehazing with a physical model and dark channel prior
Neurocomputing, 2015We propose a single image dehazing method that is based on a physical model and the dark channel prior principle. The selection of an atmospheric light value is directly responsible for the color authenticity and contrast of the resulting image. Our choice of atmospheric light is based on a variogram, which slowly weakens areas in the image that do not
Jin-Bao Wang +3 more
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Polarimetric Dark Channel Prior Descattering
2023Jinge Guan, Yongsheng Huo, Miao Ma
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2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon), 2022
Sudeep D. Thepade, Mrunal Idhate
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Sudeep D. Thepade, Mrunal Idhate
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Hybrid single image dehazing with bright channel and dark channel priors
2017 2nd International Conference on Image, Vision and Computing (ICIVC), 2017This paper proposes a novel method combining dark channel prior (DCP) and bright channel prior (BCP) for single image dehazing. The proposed method achieves airlight approximations by implementing numerical proximity of atmospheric light, which use the average value of the DCP and BCP.
Jehoiada Jackson +6 more
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Image Dehazing using Dark Channel Prior
2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), 2022Ch. Pratyusha Chowdari +4 more
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A Review on Image Defogging Techniques Based on Dark Channel Prior
2019Images captured in adverse weather condition critically degrade the quality of an image and thereby reduces the visibility of an image. This, in turn, affects several computer vision applications like visual surveillance detection, intelligent vehicles, remote sensing, etc. Thus acquiring the clear vision is the prime requirement of any image.
Tannistha Pal +4 more
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Haze Transfer Between Images Based on Dark Channel Prior
2019This paper presents a method for transferring haze information between the source and target images. First, we applied the dark channel prior method to the input source and target images. The dark channel prior method was proposed for removing haze from an image. By applying the method thereof, an input image can be decomposed to a scene radiance image,
Koushirou Maeda +2 more
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Improved Dark Channel Prior for Image Defogging
2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT), 2022Fan Yang, Yunjie Hu
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