Results 21 to 30 of about 572,545 (354)
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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Advances in Science and Technology Research JournalOptical microscopes face limitations due to diffraction, which can impact the clarity and resolution of the result - ing images. Enhancing these images typically involves techniques such as contrast improvement, sharpening, and noise reduction, which ...
Kahttan A. Noman, Alauldeen S. Yaseen
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Efficient Traffic Video Dehazing Using Adaptive Dark Channel Prior and Spatial–Temporal Correlations [PDF]
Sensors, 2019 In order to restore traffic videos with different degrees of haziness in a real-time and adaptive manner, this paper presents an efficient traffic video dehazing method using adaptive dark channel prior and spatial-temporal correlations. This method uses
Tianyang Dong +4 more
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Effective dehazing of night‐time images using open dark channel prior and wavelet transform [PDF]
Expert Syst. J. Knowl. Eng., 2023 Existing night‐time dehazing methods had been attempting to process light and non‐light source regions based on dark channel prior (DCP). Since the bright and non‐bright regions exhibit different features, the same daytime method cannot be applied to ...
Vivekanandan Dharmalingam +2 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 +3 more
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Efficient single image dehazing by modifying the dark channel prior [PDF]
EURASIP Journal on Image and Video Processing, 2019 Outdoor images can be degraded due to the particles in the air that absorb and scatter light. The produced degradation generates contrast attenuation, blurring, and distortion in pixels, resulting in low visibility. These limit the efficiency of computer
Sebastián Salazar-Colores +3 more
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Remote 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
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An Adaptive Combination of Dark and Bright Channel Priors for Single Image Dehazing [PDF]
Journal of Imaging Science and Technology, 2017 Dehazing methods based on prior assumptions derived from statistical image properties fail when these properties do not hold. This is most likely to happen when the scene contains large bright areas, such as snow and sky, due to the ambiguity between the airlight and the depth information.
Vincent Whannou de Dravo +4 more
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Fog Visibility Detection of Highway Based on Improved Dark Channel Prior Algorithm
IEEE AccessThe low visibility near the ground in foggy weather can easily lead to vicious traffic accidents, so research on visibility detection in foggy weather is fundamental for traffic control.
Huiqi Zhang, Yong Liu, Chenxi Wu
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Image Mosaic Based on Local Guidance and Dark Channel Prior
Image Analysis and StereologyImage mosaic is of significance in various areas such as object tracking and drone reconnaissance. Aiming at the problems of poor performance and high rate of false match in foggy images, an improved stitching method based on local guided KAZE and dark ...
Chong Zhang +3 more
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