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Image Super-resolution Reconstruction Network based on Enhanced Swin Transformer via Alternating Aggregation of Local-Global Features
In the local feature aggregation stage, we introduce a shift convolution to realize the interaction between local spatial information and channel information.
Salt and pepper noise removal method based on stationary Framelet transform with non-convex sparsity regularization
For example, the noise location information is often ignored and the sparsity of the salt and pepper noise is often described by L1 norm, which cannot illustrate the sparse variables clearly.
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