Simple method to eliminate blur based on Lane and Bates algorithm
S. Aogaki, I. Moritani, T. Sugai, F. Takeutchi, and F.M. Toyama

TL;DR
This paper presents a straightforward search-based technique to identify and eliminate blur in images, which can be extended to larger blurs, demonstrated through experimental testing on model images.
Contribution
The paper introduces a simple, extendable search method for blur detection and removal based on Lane and Bates algorithm, with experimental validation.
Findings
Effective blur detection in model images
Method can be extended to larger blurs
Experimental results validate the approach
Abstract
A simple search method for finding a blur convolved in a given image is presented. The method can be easily extended to a large blur. The method has been experimentally tested with a model blurred image.
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 Processing Techniques and Applications · Advanced Image Processing Techniques · Advanced Image Fusion Techniques
