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- W2017304433 abstract "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." @default.
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- W2017304433 date "2007-01-01" @default.
- W2017304433 modified "2023-09-26" @default.
- W2017304433 title "Towards Natural Image Denoising by Sparse Code Shrinkage: Improvements and Applications" @default.
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- W2017304433 doi "https://doi.org/10.2991/iske.2007.207" @default.
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