Spatially Adaptive IRN Algorithm

Finds a Spatially Adaptive Total Variation solution for images corrupted by Salt and Pepper noise.

The code executes the IRN (Iteratively Reweighted Norm) and SAIRN (Spatially Adaptive IRN) methods for an image set corrupted by multiple levels of Salt and Pepper noise and using different parameters in order to analyze their performance on each case. The input parameters include the image set, the Salt and Pepper noise levels for each image, as well as the number of IRN iterations and update SAIRN loops to be used. The noise free, noise corrupted, and (IRN / SAIRN) TV solutions are returned as output arguments, along with the performance and computational results.

Reference:
Renán Rojas, Paul Rodríguez, "Spatially Adaptive Total Variation Image Denoising Under Salt And Pepper Noise", Proceedings of the European Signal Processing Conference (EUSIPCO), (Barcelona, Spain), pp 278-282, August, 2011.