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Deblurring Images via Dark Channel Prior

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018
We present an effective blind image deblurring algorithm based on the dark channel prior. The motivation of this work is an interesting observation that the dark channel of blurred images is less sparse. While most patches in a clean image contain some dark pixels, this is not the case when they are averaged with neighboring ones by motion blur.
Hanspeter Pfister   +2 more
exaly   +4 more sources

GAN Based Image Deblurring Using Dark Channel Prior [PDF]

open access: yesIS&T International Symposium on Electronic Imaging, 2019
5 pages, 3 figures.
Shuang Zhang
exaly   +5 more sources

Image Dehazing Through Dark Channel Prior and Color Attenuation Prior

2021
With 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
openaire   +2 more sources

Blind Image Deblurring Using Dark Channel Prior

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
We 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 ...
Hanspeter Pfister   +2 more
exaly   +3 more sources

Single Image Dehazing with Dark Channel Prior

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2021
In applications related to computation of visuals, the clear picture is very crucial component but certain atmospheric conditions like haze and fog prompt the suspended particles which lead to degradation of the image. This hinders the flow of vision systems. Therefore, implementation of image dehazing has become important to improve the throughput and
Jaspreet Kaur   +4 more
openaire   +1 more source

Specular Reflection Separation Using Dark Channel Prior

2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
We 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
openaire   +1 more source

Variational Formulation of Dark Channel Prior for Single Image Dehazing

Journal of Mathematical Imaging and Vision, 2022
In this paper, we analyze the single image dehazing problem and propose a new variational method to solve it based on the dark channel prior. In the analysis section, we determine the influence that error in estimation of parameters of the haze degradation model has on the reconstructed image and give conclusions that can be used in designing a ...
Vedran Stipetic, Sven Loncaric
openaire   +1 more source

Real-Time Single Image Dehazing Using Block-to-Pixel Interpolation and Adaptive Dark Channel Prior

open access: yesIET Image Processing, 2015
The authors propose a novel and efficient method for single image dehazing. To accelerate the transmission estimation process, a block-to-pixel interpolation method is used for fine dark channel computation, in which the block-level dark channel is first
Teng Yu, Hyunchul Shin, Jingchun Piao
exaly   +2 more sources

A modified dark channel prior for improved dehazing

2015 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 2015
Images recorded under tough environment often exhibit problems such as being too light, too dark or not having enough contrast because they are degraded by a number of phenomena like fog, haze, rain and snow. This makes it essential to create accurate, high quality imagery which truly represents the scene.
Deepa Nair, Praveen Sankaran
openaire   +1 more source

Jet Trajectory Recognition Based on Dark Channel Prior

2016
The automatic fire-fighting water cannon is an important device for fire extinguish. By identifying the jet trajectory, the closed-loop control of fire extinguishing process can be realized, which improves the quality and efficiency of the water cannon.
Wenyan Chong   +3 more
openaire   +1 more source

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