In this paper, we compare the spatially adaptive iterative filtering (SAIF) approach with Weighted Encoding with Sparse Nonlocal Regularization (WESNR) to maintain the denoising strength locally for any spatial domain method. These approaches has ability of filtering local image content iteratively using the given base filter, and the type of iteration and the iteration number are automatically optimized with respect to estimated risk (i.e., mean squared error). Experimental result shows that approx. 7% enhancement in the SNR of SAIF method as compared to the WESNR method.
Image denoising, pixel aggregation, risk estimator, spatial domain filter
