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On parallelisation of image dehazing with OpenMP
International Journal of Embedded Systems, 2019In this paper, we present our learning experience on the design and implementation of image dehazing parallel code with OpenMP developed from existing fast sequential version. The aim of this work is to present an analysis of a case study showing the development of parallel haze removal with practical and efficient use of shared memory multi-core ...
Tien-Hsiung Weng +4 more
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Semi-Supervised Image Dehazing
IEEE Transactions on Image Processing, 2020We present an effective semi-supervised learning algorithm for single image dehazing. The proposed algorithm applies a deep Convolutional Neural Network (CNN) containing a supervised learning branch and an unsupervised learning branch. In the supervised branch, the deep neural network is constrained by the supervised loss functions, which are mean ...
Lerenhan Li +6 more
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ACM Transactions on Graphics, 2014
Photographs of hazy scenes typically suffer having low contrast and offer a limited visibility of the scene. This article describes a new method for single-image dehazing that relies on a generic regularity in natural images where pixels of small image patches typically exhibit a 1D distribution in RGB color space, known as color-lines.
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Photographs of hazy scenes typically suffer having low contrast and offer a limited visibility of the scene. This article describes a new method for single-image dehazing that relies on a generic regularity in natural images where pixels of small image patches typically exhibit a 1D distribution in RGB color space, known as color-lines.
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An Efficient Image Dehazing Method
2012 Sixth International Conference on Genetic and Evolutionary Computing, 2012A novel efficient dehazing technique for image reconstruction from single haze image is proposed in this paper. We employ an effective haze detector to detect the hazy image, and an efficient contrast enhancement technique for color images to reconstruct the hazy image.
Chih-Yuan Lien +2 more
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Dehazing for images with sun in the sky
Journal of Electronic Imaging, 2019<p>Image dehazing is one of the most important image processing methods and it is widely used in daily application. A large number of dehazing algorithms have been proposed in recent years. In order to solve the problem that the dehazing performances of the classic dark channel prior methods for hazy images with the sun are bad, we propose a ...
Fangyu Hu +4 more
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Enhanced Pix2pix Dehazing Network
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019In this paper, we reduce the image dehazing problem to an image-to-image translation problem, and propose Enhanced Pix2pix Dehazing Network (EPDN), which generates a haze-free image without relying on the physical scattering model. EPDN is embedded by a generative adversarial network, which is followed by a well-designed enhancer.
Yanyun Qu +3 more
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Real time polarimetric dehazing
Applied Optics, 2013Remote sensing is a rich topic due to its utility in gathering detailed accurate information from locations that are not economically feasible traveling destinations or are physically inaccessible. However, poor visibility over long path lengths is problematic for a variety of reasons.
Jason, Mudge, Miguel, Virgen
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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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A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning
ACM Computing Surveys, 2023Wenqi Ren, Jing Zhang, Dacheng Tao
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