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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, Xiaoou, Tang
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Content-Aware Dark Image Enhancement Through Channel Division
IEEE Transactions on Image Processing, 2012The current contrast enhancement algorithms occasionally result in artifacts, overenhancement, and unnatural effects in the processed images. These drawbacks increase for images taken under poor illumination conditions. In this paper, we propose a content-aware algorithm that enhances dark images, sharpens edges, reveals details in textured regions ...
Adin Ramirez, Rivera +2 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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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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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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Dark Channel Processing for Medical Image Enhancement
2019 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), 2019The images obtained through biomedical instruments are not always satisfactory. They are often blurred or vague. Doctors or researchers undergo a lot of problems because of these artefacts. Our research concentrated on image processing system which enhance these biomedical images.
Anukriti Singh +4 more
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Dark Channel Enhancement Algorithm with SRAD Model
2018 11th International Symposium on Computational Intelligence and Design (ISCID), 2018In this work we proposed a dark channel enhancement algorithm to solve hue and brightness distortion in the classic dark channel prior algorithm. Our algorithm was designed with the SRAD model (Reducing Anisotropic Diffusion Speckle). In our algorithm, the transmission image was firstly smoothed by the SRAD model and two tolerant parameters to get the ...
Gongxing Wu, Yongqiang Cheng
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Dark channel based illumination invariant feature detection
2017 18th International Conference on Advanced Robotics (ICAR), 2017This paper provides a novel feature detection method which utilizes illumination invariant space to achieve a high performance of robustness under the variating lighting conditions. Taking advantage of the dark channel prior knowledge, the proposed method builds three indicators to describe the illumination invariant components in the RGB color space ...
Peng Sun, Henry Y. K. Lau
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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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