A PDE-based log-agnostic illumination correction algorithm
U. A. Nnolim

TL;DR
This paper introduces a PDE-based image enhancement algorithm that performs illumination correction and dynamic range compression without relying on logarithmic functions, demonstrating comparable results to existing methods.
Contribution
It proposes a novel PDE-based approach for illumination correction that does not depend on the logarithmic transformation, expanding the toolkit for image enhancement.
Findings
Comparable performance to existing algorithms in most cases
Effective dynamic range compression and illumination correction
Demonstrates the viability of PDE-based methods without logarithms
Abstract
This report presents the results of a partial differential equation (PDE)-based image enhancement algorithm, for dynamic range compression and illumination correction in the absence of the logarithmic function. The proposed algorithm combines forward and reverse flows in a PDE-based formulation. The experimental results are compared with algorithms from the literature and indicate comparable performance in most cases.
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 Processing Techniques · Advanced Vision and Imaging
