Analysis of Multiscale Wavelet-based Fractional Gradient-Anisotropic Diffusion Fusion for single hazy and underwater image enhancement
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Abstract (arXiv)
This report presents the results of a multi-scale wavelet based scheme for single image de-hazing and underwater image enhancement. The scheme is fast and highly localized in addition to global enhancement of hazy images. A PDE-based formulation enables additional versatility as the iterative nature allows more flexibility for various types of images. Visual and objective results from experiments indicate that the proposed approach competes favourably or surpasses most of the state-of-the-art approaches.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 9 of its 35 references that are in the map. First posted on arXiv 10 Nov 2021.
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References · 9
- 2016DehazeNet: An End-to-End System for Single Image Haze Removalcited by 314
- 2018Densely Connected Pyramid Dehazing Networkcited by 145
- 2018O-HAZE: a dehazing benchmark with real hazy and haze-free outdoor imagescited by 95
- 2018Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazingcited by 79
- 2019All-In-One Underwater Image Enhancement using Domain-Adversarial Learningcited by 29
- 2020Single Image Dehazing Using Ranking Convolutional Neural Networkcited by 12
- 2018A Cascaded Convolutional Neural Network for Single Image Dehazingcited by 4
- 2018CANDY: Conditional Adversarial Networks based Fully End-to-End System for Single Image Haze Removalcited by 1
- 2018C2MSNet: A Novel approach for single image haze removalcited by 1
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