Results 11 to 20 of about 1,484,574 (288)
The bright side of the planning fallacy in distribution channels
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Michael Kopel, Vinay Ramani
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Defogging algorithm of underground coal mine image based on adaptive dual-channel prior
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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Single-Image Dehazing Using Extreme Reflectance Channel Prior
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 +6 more
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A multi-channel approach to brightness coding [PDF]
A model of brightness coding is presented which is shown to predict the appearance of a number of classical brightness phenomena. The model is known as MIDAAS which stands for Multiple Independent Descriptions Averaged Across Scale. In common with many other approaches to brightness perception MIDAAS imputes to local feature detectors a central role in
F, Kingdom, B, Moulden
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Region Adaptive Single Image Dehazing
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
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Fast Switching of Bright Whiteness in Channeled Hydrogel Networks [PDF]
AbstractBeside pigment absorption and reflection by periodic photonic structures, natural species often use light scattering to achieve whiteness. Synthetic hydrogels offer opportunities in stimuliāresponsive materials and devices; however, they are not conventionally considered as ideal materials to achieve high whiteness by scattering due to the ill ...
Zhang, Hang +5 more
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Bright Channel Prior Attention for Multispectral Pedestrian Detection
Multispectral methods have gained considerable attention due to their promising performance across various fields. However, most existing methods cannot effectively utilize information from two modalities while optimizing time efficiency. These methods often prioritize accuracy or time efficiency, leaving room for improvement in their performance.
Chenhang Cui, Jinyu Xie, Yechenhao Yang
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Image Dehazing Algorithm Based on Adaptive Threshold Segmentation and Transmittance Fusion [PDF]
When the dark channel priori dehazing algorithm is used to process an image with a large bright white area,the problem of image distortion occurs.To this end,an improved single image dehazing algorithm is proposed.The atmospheric light is obtained by ...
XIANG Wending, YANG Ping, XU Bing
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Single image dehazing based on bright channel prior model and saliency analysis strategy
Haze is a common atmospheric phenomenon that causes poor visibility in outdoor images, which greatly limits image application in later stages. Therefore, haze removal has become the first and most indispensable step when dealing with degraded images.
Libao Zhang, Shan Wang, Xiaohan Wang
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Image Haze Removal Algorithm Using a Logarithmic Guide Filtering and Multi-Channel Prior
In reality, the quality of an image is generally affected by haze. To obtain a well-quality image, removing haze is a hot issue on theory and application. This paper proposes a new algorithm to remove haze of hazy images.
Yuanyang Zou +3 more
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