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Image Dehazing Through Dark Channel Prior and Color Attenuation Prior
2021With an increase in motor transportation in megacities, the pollutants in the air are rising dramatically. This increases the number of unburnt particulates, dust, and smoke being released into the air. Haze is a phenomenon that emerges from such conditions that tends to affect image quality.
Jacob John, Prabu Sevugan
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Specular Reflection Separation Using Dark Channel Prior
2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013We present a novel method to separate specular reflection from a single image. Separating an image into diffuse and specular components is an ill-posed problem due to lack of observations. Existing methods rely on a specular-free image to detect and estimate specularity, which however may confuse diffuse pixels with the same hue but a different ...
Hyeongwoo Kim +3 more
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Blind Image Deblurring Using Dark Channel Prior
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016We present a simple and effective blind image deblurring method based on the dark channel prior. Our work is inspired by the interesting observation that the dark channel of blurred images is less sparse. While most image patches in the clean image contain some dark pixels, these pixels are not dark when averaged with neighboring highintensity pixels ...
Jinshan Pan +3 more
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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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Underwater Single Image Restoration Using Dark Channel Prior
2014 Symposium on Automation and Computation for Naval, Offshore and Subsea (NAVCOMP), 2014The underwater vision is highly spoiled by the underwater degradation effects. As light propagates in the water or other participative mediums, it suffers from a substantial scattering effect that produces poor image quality. Based on a physical model that describes this phenomenon it is possible to recover an haze-free image.
Felipe M. Codevilla +4 more
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Single image dehazing using improved dark channel prior
2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN), 2015Huge quantities of suspended particles in our atmosphere, cause scenes to appear hazy or foggy, this reduces visibility of objects and their contrast, and makes detection of objects within the scene more difficult. Most existing algorithms are based on a strong, statistically based prior, the dark channel prior.
Yogesh Kumar +4 more
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Improved single image dehazing using dark channel prior
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, 2010Atmospheric conditions induced by suspended particles, such as fog and haze, severely degrade image quality. Haze removal from a single image of a weather-degraded scene remains a challenging task, because the haze is dependent on the unknown depth information.
null Yan Wang, null Bo Wu
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MODIFIED DARK CHANNEL PRIOR Modified DCP for Dehazing
SSRN Electronic Journal, 2021The image captured by camera is degraded by various atmospheric parameters for example rain, storm, wind, haze, snow. The removing haze is called dehazing, is naturally done in the physical degradation model, which requires a solution of an ill-posed inverse problem.
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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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