Results 21 to 30 of about 120,890 (299)
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
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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
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A REVIEW ON COMPARATIVE ANALYSIS OF DEHAZING OF REMOTE SENSING IMAGES USING DIFFERENT FILTERS
ICTACT 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
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Defogging algorithm of underground coal mine image based on adaptive dual-channel prior
Gong-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
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Efficient Dark Channel Prior Based Blind Image De-blurring [PDF]
Radioengineering, 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
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Nighttime low illumination image enhancement with single image using bright/dark channel prior
EURASIP Journal on Image and Video Processing, 2018 Nighttime low illumination image enhancement is highly desired for outdoor computer vision applications. However, few works have been studied towards this goal. In addition, the low illumination enhancement problem becomes very challenging when the depth
Zhenghao Shi +4 more
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Segmentation-based image defogging using modified dark channel prior
EURASIP Journal on Image and Video Processing, 2020 Image acquisition under bad weather conditions is prone to yield image with low contrast, faded color, and overall poor visibility. Different computer vision applications including surveillance, object classification, tracking, and recognition get ...
Aneela Sabir +2 more
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Applied Sciences, 2023 Image dehazing has always been one of the main areas of research in image processing. The traditional dark channel prior algorithm (DCP) has some shortcomings, such as incomplete fog removal and excessively dark images.
Long Wu +6 more
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Fast algorithm for dark channel prior
Electronics Letters, 2014 A fast algorithm to calculate the dark channel prior (DCP) with the complexity constant for window size and linear for image size is presented. The strategy followed is that of ‘trade space for time’, and a data structure is developed, called the partitioned minimal table (PAMT), to orderly store the local minima of four partitions of every non ...
Renjie Gao, Yi Wang, Min Liu, Xin Fan
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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 +4 more
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