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
Contrast Aware Image Dehazing using Generative Adversarial Network
TL;DR: This paper presents a learning-based method to generate a dehazed image from a hazy input image using a densely connected end-to-end encoder-decoder-based GAN (Generative Adversarial Network) to facilitate feature extraction from images and their utilization.
Posted Content
Analysis of Probabilistic multi-scale fractional order fusion-based de-hazing algorithm.
TL;DR: The proposed scheme improves on a previously implemented multiscale fraction order-based fusion by augmenting its local contrast and edge sharpening features and brightens de-hazed images, while avoiding sky region over-enhancement.
Proceedings ArticleDOI
Adaptation of Koschmieder dehazing model for underwater marker detection
TL;DR: An adaptation of the Koschmieder for grayscale images which is more suitable for marker detection is proposed by enhancing the final energy (the radiance) of the image lost during the processing by multiplying the final radiance image by the shifted transmission of the Kosovo model.
Journal ArticleDOI
Single Image Dehazing Using Saturation Line Prior
TL;DR: Yang et al. as mentioned in this paper proposed a saturation line prior (SLP) based dehazing framework, which employs the intrinsic relevance between pixels to achieve a reliable saturation line construction for transmission estimation.
Proceedings ArticleDOI
A Novel Multi-Scale Residual Dense Dehazing Network (MSRDNet) for Single Image Dehazing✱
TL;DR: In this article , a Multi-Scale Residual dense Dehazing Network (MSRDNet) is proposed to address the damage caused by the non-uniform fog and haze distribution in images.
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.