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Single Image Haze Removal Using Dark Channel Prior
2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009In this paper, we propose a simple but effective image prior-dark channel prior to remove haze from a single input image. The dark channel prior is a kind of statistics of outdoor haze-free images. It is based on a key observation-most local patches in outdoor haze-free images contain some pixels whose intensity is very low in at least one color ...
Kaiming He, Jian Sun 0001, Xiaoou Tang
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Underwater Polarimetric Dark Channel Prior Descattering
Optics and Laser TechnologyMiao Ma
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Underwater image enhancement by dark channel prior
2015 2nd International Conference on Electronics and Communication Systems (ICECS), 2015Light scattering and color change are two main problems in underwater images. Due to light scattering, incident light gets reflected and deflected multiple times by particles present in the water. This degrades the visibility and contrast of the underwater image.
R. Sathya, M. Bharathi, G. Dhivyasri
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A Study on Dark Channel Prior based Image Enhancement Techniques
2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2020The existence of haze and cloud degrades the quality of the image taken by camera sensors and decreases their clarity. The degradation can majorly be seen using the transmission map, which is one of the crucial parameters of Dehazing using a single image.
Anil Singh Parihar, Gokul Gupta
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Accelerated haze removal for a single image by dark channel prior
Frontiers of Information Technology & Electronic Engineering, 2019Haze scatters light transmitted in the air and reduces the visibility of images. Dealing with haze is still a challenge for image processing applications nowadays. For the purpose of haze removal, we propose an accelerated dehazing method based on single pixels.
Boxuan Yue +3 more
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A dehazing algorithm using dark channel prior and contrast enhancement
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013This paper proposes a dehazing algorithm based on dark channel prior and contrast enhancement approaches. The conventional dark channel prior method removes haze and thus restores colors of objects in the scene, but it does not consider the enhancement of image contrast. On the contrary, the image contrast method improves the local contrast of objects,
Tae Ho Kil, Sang Hwa Lee, Nam Ik Cho
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Analysis on spectral effects of dark-channel prior for haze removal
2015 IEEE International Conference on Image Processing (ICIP), 2015In solving the inverse problem of haze removal, the most commonly used prior in the literature is perhaps that of dark channel, which assumes that at least one pixel in a small patch has a zero or near zero intensity level in one of the RGB color channels.
Yuxiang Shen +2 more
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Smooth Dark Channel Prior Technique for Image Dehazing Applications
2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan), 2020Image dehazing algorithm can restore a hazed image back to a haze-free image. Dark channel prior (DCP) is an efficient technique to estimate an airlight owing to its effectiveness. However, DCP causes considerable computation burdens, limiting its hardware efficiencies.
Hsuan-Yu Chang +2 more
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Underwater Enhancement Model via Reverse Dark Channel Prior
2020The interference of suspended particles causes the problems of color distortion, haze effect and visibility reduction in complex underwater environment. However, existing methods for enhancement often result in overexposure of the low contrast area or distortion of the seriously turbid area. The main factor is the diversity of the underwater images. In
Yue Shen +4 more
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Night video enhancement using improved dark channel prior
2013 IEEE International Conference on Image Processing, 2013Videos taken under low lighting condition usually have serious loss of visibility and contrast and are inconvenient for observation and analysis. To solve this problem, this paper presents a real-time night video enhancement approach. As observed that a pixel-wise inversion of a night video has quite similar appearance with the video acquired at foggy ...
Xuesong Jiang +4 more
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