Results 241 to 250 of about 120,890 (299)

Flexible n-Channel Organic Transistors with Low Contact Resistance. [PDF]

ACS Appl Mater Interfaces
Steffens S, Wollandt T, Cordero-Solano K, Eichelmann R, Kochan A, Sun X, Letzkus F, Burghartz JN, Ludwigs S, Gade LH, Klauk H.   +10 more
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CMAWRNet: Multiple Adverse Weather Removal via a Unified Quaternion Neural Architecture. [PDF]

J Imaging
Frants V, Agaian S, Panetta K, Huang P.
europepmc   +1 more source

Abiotic stress triggers electrical synchronisation of shoot and leaves in soybean plants: a clue for plant attention-like. [PDF]

Plant Signal Behav
Carvalho Oliveira TF, Parise AG, Tasca HC, Posso D, Reissig GN, Souza GM.   +5 more
europepmc   +1 more source

Real-Time Image Dehazing Using Optimized Dark Channel Prior with Guided Filtering and Adaptive Enhancement

Nguyễn Thu Trang
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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, Srishti Sabharwal, Ayush Dogra, Bhawna Goyal, Rohit Anand   +4 more
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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.
Jinshan Pan, Deqing Sun, Hanspeter Pfister, Ming-Hsuan Yang   +3 more
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Single image haze removal using dark channel prior

2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009
In 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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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
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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, Hailin Jin, Sunil Hadap, Inso Kweon   +3 more
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