Proceedings ArticleDOI
Efficient Image Dehazing with Boundary Constraint and Contextual Regularization
Gaofeng Meng,Ying Wang,Jiangyong Duan,Shiming Xiang,Chunhong Pan +4 more
- pp 617-624
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TLDR
An efficient regularization method to remove hazes from a single input image and can restore a high-quality haze-free image with faithful colors and fine image details is proposed.Abstract:
Images captured in foggy weather conditions often suffer from bad visibility. In this paper, we propose an efficient regularization method to remove hazes from a single input image. Our method benefits much from an exploration on the inherent boundary constraint on the transmission function. This constraint, combined with a weighted L1-norm based contextual regularization, is modeled into an optimization problem to estimate the unknown scene transmission. A quite efficient algorithm based on variable splitting is also presented to solve the problem. The proposed method requires only a few general assumptions and can restore a high-quality haze-free image with faithful colors and fine image details. Experimental results on a variety of haze images demonstrate the effectiveness and efficiency of the proposed method.read more
Citations
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Proceedings ArticleDOI
Mutually Guided Image Dehazing
Usman Ali,Waqas Tariq Toor +1 more
TL;DR: In this article , an efficient regularization scheme that jointly optimizes the transmission map and the guidance is proposed, which results in better quality dehazed image which has improved color fidelity and fine details as demonstrated by the experimental results.
Proceedings ArticleDOI
Single image dehazing based on linear transformation
TL;DR: In this article , a single image dehazing algorithm based on linear transformation was proposed to solve the problems of sky distortion, edge artifact and overall dark of the restored image, which has obvious recovery of details, good effect on the hazy images of different scenes, and good restoration effect on sky region.
Proceedings ArticleDOI
Robust Lane Departure Warning System for ADAS on Highways
TL;DR: In this article , a lane departure warning system that is based on image processing technique for detecting lane lines is implemented, video frames are fed to the pre-processing phase where brightness and contrast of images are adjusted, then Red Green Blue (RGB) images are changed to Hue Saturation Lightness (HSL) colour space.
Proceedings ArticleDOI
Image fusion dehazing algorithm based on multi-logarithmic transform
TL;DR: Zhang et al. as discussed by the authors proposed a dehazing algorithm based on exposure image fusion based on multi-logarithmic transform, which improves image quality and avoids the edge effect in the sky part of images.
Book ChapterDOI
Structural Patch Decomposition Fusion for Single Image Dehazing
TL;DR: Zhang et al. as mentioned in this paper presented a new image dehazing method via structural patch decomposition image fusion, which does not rely on the accuracies of global atmospheric light and transmission.
References
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Proceedings ArticleDOI
Visibility in bad weather from a single image
TL;DR: A cost function in the framework of Markov random fields is developed, which can be efficiently optimized by various techniques, such as graph-cuts or belief propagation, and is applicable for both color and gray images.
Journal ArticleDOI
Single image dehazing
TL;DR: Results demonstrate the new method abilities to remove the haze layer as well as provide a reliable transmission estimate which can be used for additional applications such as image refocusing and novel view synthesis.
Journal ArticleDOI
Contrast restoration of weather degraded images
TL;DR: A physics-based model is presented that describes the appearances of scenes in uniform bad weather conditions and a fast algorithm to restore scene contrast, which is effective under a wide range of weather conditions including haze, mist, fog, and conditions arising due to other aerosols.
Journal ArticleDOI
Edge-preserving decompositions for multi-scale tone and detail manipulation
TL;DR: This paper advocates the use of an alternative edge-preserving smoothing operator, based on the weighted least squares optimization framework, which is particularly well suited for progressive coarsening of images and for multi-scale detail extraction.
Journal ArticleDOI
Vision and the Atmosphere
TL;DR: This work studies the visual manifestations of different weather conditions, and model the chromatic effects of the atmospheric scattering and verify it for fog and haze, and derives several geometric constraints on scene color changes caused by varying atmospheric conditions.