Robust Adaptive Denoising of Color Images with Mixed Gaussian and Impulsive Noise

This software implements the Robust Adaptive Denoising algoritm. Code is written in CUDA.

Requirements

• CUDA SDK
• libpng

Installation

Run:

make lib CUDA=1
make main CUDA=1

Usage

Sample usage: `./main_rob <reference image { rgb }> <noisy image {rgb}> <block_radius> <patch_radius> where:

variant = Algorihm variant Reference image - original, not noisy image Noisy image - image which will be filtered block_radius - radius of the processing block B patch_radius - radius of the patch alpha - number of pixels taked into account { positive } sigma - h prameter { positive } sigmai - sigma prameter { positive }

Running: `./main_rob <reference image { rgb }> <noisy image {rgb}>

will use the Self-tunning approach.

Acknowledgment

This code uses parts of the Fourier 0.8 library by Emre Celebi licensed on GPL avalaible here:

http://sourceforge.net/projects/fourier-ipal

http://www.lsus.edu/faculty/~ecelebi/fourier.htm