Results 41 to 50 of about 18,768,334 (232)
A fast image dehazing method that does not introduce color artifacts
Journal of Real-Time Image Processing, 2018 We propose a method for color dehazing with four main characteristics: it does not introduce color artifacts, it does not depend on inverting any physical equation, it is based on models of visual perception, and it is fast, potentially real time.
Javier Vazquez-Corral +3 more
semanticscholar +2 more sources
Fusion-based Variational Image Dehazing [PDF]
IEEE Signal Processing Letters, 2016 We propose a novel image-dehazing technique based on the minimization of two energy functionals and a fusion scheme to combine the output of both optimizations. The proposed fusion-based variational image-dehazing (FVID) method is a spatially varying image enhancement process that first minimizes a previously proposed variational formulation that ...
Adrian Galdran +3 more
openaire +3 more sources
Benchmarking Single-Image Dehazing and Beyond [PDF]
IEEE Transactions on Image Processing, 2019 IEEE Transactions on Image Processing(TIP 2019)
Boyi Li 0001 +6 more
openaire +3 more sources
Image Haze Removal Algorithm Based on Nonsubsampled Contourlet Transform
IEEE Access, 2021 In order to avoid the noise diffusion and amplification caused by traditional dehazing algorithms, a single image haze removal algorithm based on nonsubsampled contourlet transform (HRNSCT) is proposed. The HRNSCT removes haze only from the low-frequency
Bowen Zhang, Manli Wang, Xiaobo Shen
doaj +1 more source
On the Duality Between Retinex and Image Dehazing [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Image dehazing deals with the removal of undesired loss of visibility in outdoor images due to the presence of fog. Retinex is a color vision model mimicking the ability of the Human Visual System to robustly discount varying illuminations when observing a scene under different spectral lighting conditions.
Adrian Galdran +4 more
openaire +5 more sources
Image Dehazing in Disproportionate Haze Distributions [PDF]
IEEE Access, 2021 Haze removal techniques employed to increase the visibility level of an image play an important role in many vision-based systems. Several traditional dark channel prior-based methods have been proposed to remove haze formation and thereby enhance the robustness of these systems.
Shih-Chia Huang +7 more
openaire +2 more sources
Improved Techniques for Learning to Dehaze and Beyond: A Collective Study [PDF]
arXiv.org, 2018 Here we explore two related but important tasks based on the recently released REalistic Single Image DEhazing (RESIDE) benchmark dataset: (i) single image dehazing as a low-level image restoration problem; and (ii) high-level visual understanding (e.g.,
Yu Liu +10 more
semanticscholar +1 more source
Polarization Guided Autoregressive Model for Depth Recovery
IEEE Photonics Journal, 2017 The Instant Dehaze method used polarized images to obtain a dehazed image and an estimated depth map of the scene. Haze due to atmospheric absorption and scattering causes degradation in image quality and the estimated depth.
Mohamed Reda +2 more
doaj +1 more source
Improved reflection removal with dark channel prior
, 2021 This article proposed an idea that the quality of reflection removal can be improved by preprocess the input image with a dehaze method (which is dark channel prior in this paper)
yuan liu
core +1 more source
Enhance Low Visibility Image Using Haze-Removal Framework
IEEE Access, 2023 We proposed a novel image enhancement framework to raise the visibility of the image’s content. Our primary concern is eliminating haze-like effects and simultaneously increasing images’ brightness.
Ping Juei Liu
doaj +1 more source