Non-Local Patch Regression

Version 1.0.0.0 (7.82 KB) by Kunal Chaudhury
Robust image denoising in patch space (non-convex extension of the non-local means algorithm).
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Updated 4 Mar 2013

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MATLAB implementation of the Non-Local Patch Regression (NLPR) algorithm described in the following paper:

[1] K. N. Chaudhury, A. Singer, "Non-Local Patch Regression: Robust image denoising in patch space", IEEE International Conference on Acoustics, Speech, and Signal Processing, 2013.

The current implementation is meant for experimental usage, and is far from optimal in terms of efficiency. For example, it can be optimized using *parfor* loops, or using mex code for the l_p minimization.

Cite As

Kunal Chaudhury (2026). Non-Local Patch Regression (https://www.mathworks.com/matlabcentral/fileexchange/40624-non-local-patch-regression), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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NLPR/

Version Published Release Notes
1.0.0.0