Analysis of Multiscale Wavelet-based Fractional Gradient-Anisotropic Diffusion Fusion for single hazy and underwater image enhancement
Uche A. Nnolim

TL;DR
This paper introduces a multi-scale wavelet-based PDE scheme for single image de-hazing and underwater enhancement, offering fast, localized, and flexible global image improvements that outperform many existing methods.
Contribution
It presents a novel multi-scale wavelet and PDE-based approach that enhances hazy and underwater images more effectively and efficiently than prior techniques.
Findings
Outperforms most state-of-the-art methods in visual quality
Offers fast and localized image enhancement
Provides flexible global enhancement through PDE formulation
Abstract
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsImage Enhancement Techniques · Advanced Image Fusion Techniques · Advanced Image Processing Techniques
