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Sparse code shrinkage (SCS) has been proved to be a very promising method for natural image denoising, but it still has some drawbacks such as considerable complexity of computation and inevitable loss of image details. In this paper, we propose a new compensation operation and an improved shrinkage function to effectively combat the loss of image details in SCS. We also propose a new strategy of sliding window and non-square ICA filters to relieve the computational complexity of SCS in real-time system. Compared with ordinary SCS, our method can remain better performance while achieving higher efficiency in natural image denoising.

Towards Natural Image Denoising by Sparse Code Shrinkage: Improvements and Applications