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No-reference image quality assessment for dehazed images
Journal of Electronic Imaging, 2022Traditional image quality prediction methods require the pristine image as a reference, such as structural similarity. However, it is difficult to provide a haze-free image as a reference when predicting the quality of the dehazed image. Therefore, it is necessary to use a no-reference image quality assessment (NR-IQA) method.
Bin Ji +4 more
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An efficient method for image dehazing
2016 IEEE International Conference on Image Processing (ICIP), 2016Hazy images hinder image understanding in many applications such as autonomous vehicle. In this paper, we propose an efficient method to improve image quality of hazy images. Our method estimates the transmission function based on a linear model that allows efficient computation and employs quadtree to search for a region that best represents the ...
Wencheng Wang 0002 +4 more
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Recent advances in image dehazing
IEEE/CAA Journal of Automatica Sinica, 2017Images captured in hazy or foggy weather conditions can be seriously degraded by scattering of atmospheric particles, which reduces the contrast, changes the color, and makes the object features difficult to identify by human vision and by some outdoor computer vision systems.
Wencheng Wang 0002, Xiaohui Yuan 0001
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Recurrent Context Aggregation Network for Single Image Dehazing
IEEE Signal Processing Letters, 2021Existing learning-based dehazing methods are prone to cause excessive dehazing and failure to dense haze, mainly because that the global features of hazy images are not fully utilized, while the local features of hazy images are not enough discriminative.
Chen-Yang Wang +4 more
semanticscholar +1 more source
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Haze limits visibility and reduces image contrast in outdoor images. The degradation is different for every pixel and depends on the distance of the scene point from the camera. This dependency is expressed in the transmission coefficients, that control the scene attenuation and amount of haze in every pixel.
Dana Berman, Tali Treibitz, Shai Avidan
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Haze limits visibility and reduces image contrast in outdoor images. The degradation is different for every pixel and depends on the distance of the scene point from the camera. This dependency is expressed in the transmission coefficients, that control the scene attenuation and amount of haze in every pixel.
Dana Berman, Tali Treibitz, Shai Avidan
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A Dual-Channel Dehaze-Net for Single Image Dehazing in Visual Internet of Things Using PYNQ-Z2 Board
IEEE Transactions on Automation Science and EngineeringA large number of emerging applications, such as autonomous navigation, space exploration, surveillance, military target detection, and remote sensing, use outdoor images to monitor various activities of interest.
Geet Sahu +3 more
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Generative adversarial dehaze mapping nets
Pattern Recognition Letters, 2017Single image haze removal is a challenging task with few effective constraints, which seriously affect performance of machine learning algorithms.
Ce Li +3 more
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Frequency component vectorisation for image dehazing
Journal of Experimental & Theoretical Artificial Intelligence, 2020Image captured in bad weather conditions confines scene prominence, appears grey and diminishes image contrast.
Muhammad Nazeer +6 more
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An Improved Image Dehazing Technique using CLAHE and Guided Filter
SPIN, 2020Presence of haze components in the atmosphere, degrade the contrast as well as the true color of the real images. As a result of this, images are difficult to comprehend and to be used in several applications like surveillance, navigation, detection etc.
Badal Soni, Prachi Mathur
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IEEE Transactions on Geoscience and Remote Sensing
Satellite imagery plays a critical role in target detection. However, the quality and usability of optical remote sensing images can be severely compromised by atmospheric conditions, particularly haze, which significantly reduces the recognition ...
Yitong Zheng +4 more
semanticscholar +1 more source
Satellite imagery plays a critical role in target detection. However, the quality and usability of optical remote sensing images can be severely compromised by atmospheric conditions, particularly haze, which significantly reduces the recognition ...
Yitong Zheng +4 more
semanticscholar +1 more source