Fried deconvolution

Jerome Gilles, Stanley Osher
11/5/2024
cs.CV

No confident code implementation found for this paper. 1 possible match can be shown below.

Abstract

In this paper we present a new approach to deblur the effect of atmospheric turbulence in the case of long range imaging. Our method is based on an analytical formulation, the Fried kernel, of the atmosphere modulation transfer function (MTF) and a framelet based deconvolution algorithm. An important parameter is the refractive index structure which requires specific measurements to be known. Then we propose a method which provides a good estimation of this parameter from the input blurred image. The final algorithms are very easy to implement and show very good results on both simulated blur and real images.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 1 weaker match is hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Atmospheric turbulence restoration by diffeomorphic image registration and blind deconvolution

84% match2024

Physics-Driven Turbulence Image Restoration with Stochastic Refinement

80% match1 repo262023

Long-range Turbulence Mitigation: A Large-scale Dataset and A Coarse-to-fine Framework

80% match1 repo122024

DeTurb: Atmospheric Turbulence Mitigation with Deformable 3D Convolutions and 3D Swin Transformers

80% match1 repo52024

Learning to restore images degraded by atmospheric turbulence using uncertainty

80% match1 repo252022

Blind Image Deblurring with FFT-ReLU Sparsity Prior

80% match1 repo52024

Cite this paper

@article{gilles2024fried,
  title  = {Fried deconvolution},
  author = {Jerome Gilles and Stanley Osher},
  year   = {2024},
  eprint = {2411.02890},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2411.02890v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2411.02890.svg)](https://codeofpaper.com/paper/2411.02890)

Discussion