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Handleoutlier

Handling Outliers in Non-blind Image Deconvolution

Install / Use

/learn @CoupeLibrary/Handleoutlier
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Deconvolution with Outlier Handling v0.1 - README http://cg.postech.ac.kr/research/deconv_outliers

Sunghyun Cho http://home.postech.ac.kr/~sodomau sodomau@postech.ac.kr Oct. 5, 2011


IMPORTANT NOTE


If you generate data (e.g., images, tables of processing times, etc.) using the code for an academic publication, please include the following citation in your paper.

@inproceedings{cho_iccv2011, author = {Sunghyun Cho and Jue Wang and Seungyong Lee}, title = {Handling Outliers in Non-blind Image Deconvolution}, booktitle = {Proc.\ IEEE International Conference on Computer Vision (ICCV 2011)}, year = {2011}, pages = {1--8} }

If you want to use the executable for other purposes, please contact us.


HOW TO USE


There are two directories: code and examples. 'code' contains fils for non-blind deconvolution, and 'examples' contains example images included in the paper. The source code is written in Matlab. You may find how to use in deconv_test.m in the directory 'code'.

For algorithmic details, please refer to our paper. If you have any questions, please feel free to e-mail me.

Thank you.

Related Skills

View on GitHub
GitHub Stars17
CategoryDevelopment
Updated6mo ago
Forks7

Languages

Matlab

Security Score

67/100

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