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A haze density aware adaptive perceptual single image haze removal algorithm
2016 IEEE International Conference on Information and Automation (ICIA), 2016Haze or fog jeopardizes both environment and image quality, which degrades the quality of subsequent computer vision algorithms. Recently haze removal method in image processing makes significant progress. The existing methods usually require complicated manual parameters setting according to the variance of input.
Chuanzi He +4 more
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Haze removal for aerial degraded images
Optics and Precision Engineering, 2011For aerial images with poor contrast and color fidelity due to foggy and hazy weathers,this paper proposes a technique of haze removal for aerial degraded images based on the dark-channel prior and the physical model to improve the visibility of vision system in an Unmanned Aerial Vehicle.From the viewpoints of image restoration and image enhancement ...
嵇晓强 JI Xiao-qiang +4 more
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Haze removal Methods: A Comprehensive Review
2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC), 2018Outdoor scenes are usually affected by air particles and water vapor in the atmosphere. Haze is such phenomena happened due to atmospheric absorption and scattering. Haze affects the visibility and causes a degradation in the images quality of outdoor scenes, which in turn affects various image processing applications.
Mohamed Reda, Yongqiang Zhao
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Comprehensive survey on haze removal techniques
Multimedia Tools and Applications, 2017Image haze removal techniques are extensively used in several outdoor applications. Lack of sufficient knowledge that is required to restore hazy images, the existing techniques usually use various attributes and assign constant values to these attributes. Unsuitable assignment to these attributes does not provide desired dehazing results.
Dilbag Singh, Vijay Kumar
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A Review on Haze Removal Techniques
2019Images captured in outer environment suffer from reduced scene visibility, reduced color contrast, and increased color fading. This may happen due to the presence of haze, fog, smoke, dust and noise present in the outer atmosphere. Haze is formed due to two basic processes, attenuation and air light. Attenuation diminishes the contrast of the image and
K. P. Senthilkumar, P. Sivakumar
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Haze Removal: Push DCP at the Edge
IEEE Signal Processing Letters, 2020In the task of haze scene restoration, dark channel prior is the most convincing theory. Its biggest contribution is to introduce the concept of dark channel map, which is convenient for acquiring initial transmission. Minimum filter is the basic operation for dark channel map.
Yan Yang, Zhiwei Wang
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Haze Removal Using the Difference- Structure-Preservation Prior
IEEE Transactions on Image Processing, 2017Fog cover is generally present in outdoor scenes, which limits the potential for efficient information extraction from images. In this paper, the goal of the developed algorithm is to obtain an optimal transmission map as well as to remove hazes from a single input image.
Linyuan, He +3 more
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Combined Haze and Cirrus Removal for Multispectral Imagery
IEEE Geoscience and Remote Sensing Letters, 2016Multispectral satellite images are often contaminated by haze and/or cirrus. A previous paper presented a haze removal method that calculates a haze thickness map (HTM) based on a local search of dark objects. The haze-free signal is restored by subtracting the HTM from the hazy image assuming an additive model of the haze influence.
Makarau, Aliaksei +3 more
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Edge-Preserving Decomposition-Based Single Image Haze Removal
IEEE Transactions on Image Processing, 2015Single image haze removal is under-constrained, because the number of freedoms is larger than the number of observations. In this paper, a novel edge-preserving decomposition-based method is introduced to estimate transmission map for a haze image so as to design a single image haze removal algorithm from the Koschmiedars law without using any prior ...
Zhengguo, Li, Jinghong, Zheng
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HAZE REMOVAL USING IMPROVED AUTOMATIC QUICK SHIFT SEGMENTATION
Advances and Applications in Discrete Mathematics, 2019Summary: Bad weather (such as fog, haze, mist) brings trouble to many computer vision applications like outdoor surveillance systems, object detection, pedestrian detection and intelligent transport systems. Dark channel method with fixed rectangular patches is used in many algorithms for the removal of fog.
Tariq, Humera +2 more
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