Results 11 to 20 of about 526,256 (284)

Unsupervised Single Image Dehazing Using Dark Channel Prior Loss [PDF]

open access: yesIEEE Transactions on Image Processing, 2020
Single image dehazing is a critical stage in many modern-day autonomous vision applications. Early prior-based methods often involved a time-consuming minimization of a hand-crafted energy function. Recent learning-based approaches utilize the representational power of deep neural networks (DNNs) to learn the underlying transformation between hazy and ...
Alona Golts   +2 more
openaire   +5 more sources

GAN based image deblurring using dark channel prior [PDF]

open access: yesElectronic Imaging, 2019
5 pages, 3 figures.
Zhang, Shuang   +2 more
openaire   +4 more sources

Multispectral Image Enhancement Based on the Dark Channel Prior and Bilateral Fractional Differential Model

open access: yesRemote Sensing, 2022
Compared with single-band remote sensing images, multispectral images can obtain information on the same target in different bands. By combining the characteristics of each band, we can obtain clearer enhanced images; therefore, we propose a ...
Weijie Chen   +3 more
doaj   +3 more sources

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

open access: yesTechnologies, 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

open access: yesJ, 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

open access: yesInternational 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

A REVIEW ON COMPARATIVE ANALYSIS OF DEHAZING OF REMOTE SENSING IMAGES USING DIFFERENT FILTERS

open access: yesICTACT Journal on Image and Video Processing, 2021
Haze is an atmospheric phenomenon caused by scattering of atmospheric particles in air and these factor causes deterioration of images, captured by the sensors.
M Kamalam , N Ameena Bibi
doaj   +1 more source

Defogging algorithm of underground coal mine image based on adaptive dual-channel prior

open access: yesGong-kuang zidonghua, 2022
When dark channel prior algorithm is used to deal with underground coal mine images, there are problems of image distortion, lack of details and dark light.
WANG Yuanbin   +3 more
doaj   +1 more source

Penerapan Random Forest Untuk Pengenalan Jenis Ikan Berdasarkan Perbaikan Citra Clahe Dan Dark Channel Prior

open access: yesJurnal informatika UPGRIS, 2021
Ancaman terhadap kekayaan alam semakin terlihat, oleh karena itu upaya untuk melindungi populasi biota perairan sangat menantang bagi banyak negara. Upaya untuk mengatasi kerusakan terhadap populasi ikan asli telah dilakukan dengan mengurangi populasi ...
R.A. Pramunendar   +3 more
doaj   +1 more source

Efficient Dark Channel Prior Based Blind Image De-blurring [PDF]

open access: yesRadioengineering, 2021
Dark channel prior for blind image de-blurring has attained considerable attention in recent past. An interesting observation in blurring process is that the value of dark channel increases after averaging with adjacent high intensity pixels.
J. Ahmad, I. Touqir, A. M. Siddiqui
doaj  

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