Results 31 to 40 of about 572,545 (354)

Blind deblurring with intermediate correction using the dark channel prior

AIMS Mathematics
Image deblurring is of great importance for wide applications in reality. An existing method based on the dark channel prior (DCP) has achieved notable success across natural, facial, and text images.
Min Xiao, Jinkang Zhang, Zijin Zhu, Meina Zhang   +3 more
doaj   +2 more sources

Virtual cleaning of sooty mural hyperspectral images using the LIME model and improved dark channel prior. [PDF]

Sci Rep
Sun P, Hou M, Lyu S, Li S, Wang W, Cheng C, Zhang T.   +6 more
europepmc   +2 more sources

Polarization Imaging Descattering Based on Dark Channel Prior Background Light Estimation

IEEE Photonics Journal
In turbid water environments, conventional polari-metric imaging descattering methods usually rely on selecting a non-target background region as a substitute for global back-ground light information, leading to image clarity. By integrating polarization
Jiarui Zhang, Yaxin Cai, Ming Fang
doaj   +2 more sources

Polarization image defogging based on dark channel prior principle [PDF]

Optics and Precision Engineering, 2023
Chuning WANG, Kaichun Zhao
openalex   +2 more sources

Single-Image Dehazing Using Extreme Reflectance Channel Prior

IEEE Access, 2021
Image dehazing algorithms based on dark channel prior principle have achieved good results for most scenes. However, the popular dark channel prior tends to underestimate transmissions of bright areas or objects, such as the skies, white areas and self ...
Yutong Zhang, Kun Gao, Junwei Wang, Xiaodian Zhang, Hong Wang, Zizheng Hua, Qiong Wu   +6 more
doaj   +1 more source

A Multi-Scale Dehazing Network with Dark Channel Priors

Sensors, 2023
Image dehazing based on convolutional neural networks has achieved significant success; however, there are still some problems, such as incomplete dehazing, color deviation, and loss of detailed information. To address these issues, in this study, we propose a multi-scale dehazing network with dark channel priors (MSDN-DCP).
Guoliang Yang, Hao Yang, Shuaiying Yu, Jixiang Wang, Ziling Nie   +4 more
openaire   +3 more sources

Region Adaptive Single Image Dehazing

Entropy, 2021
Image haze removal is essential in preprocessing for computer vision applications because outdoor images taken in adverse weather conditions such as fog or snow have poor visibility.
Changwon Kim
doaj   +1 more source

Efficient Sandstorm Image Enhancement Using the Normalized Eigenvalue and Adaptive Dark Channel Prior

Technologies, 2021
A sandstorm image has features similar to those of a hazy image with regard to the obtaining process. However, the difference between a sand dust image and a hazy image is the color channel balance.
Ho Sang Lee
doaj   +1 more source

Efficient Color Correction Using Normalized Singular Value for Duststorm Image Enhancement

J, 2022
A duststorm image has a reddish or yellowish color cast. Though a duststorm image and a hazy image are obtained using the same process, a hazy image has no color distortion as it has not been disturbed by particles, but a duststorm image has color ...
Ho-Sang Lee
doaj   +1 more source

A Single Image Deblurring Approach Based on a Fractional Order Dark Channel Prior

International Journal of Applied Mathematics and Computer Science, 2022
The dark channel prior has been successfully applied to solve the blind deblurring problem on different scene images. Since the dark channel of the blurry-noise image is similar to that of the corresponding clear image, the sparsity of the dark channel ...
Yu Xiaoyuan, Xie Wei, Yu Jinwei
doaj   +1 more source