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Lspatch Modules 2021 [FREE]

LSPatch (Least Squares Patch) is a widely used algorithm in computer vision and image processing for image denoising, deblurring, and restoration. In recent years, various modules have been developed to enhance the performance and applicability of LSPatch. This paper provides a comprehensive review of LSPatch modules developed in 2021, highlighting their key features, advantages, and limitations. We also discuss the current state of LSPatch, its applications, and future directions.

| Module | Restoration Quality | Processing Time | Applicability | | --- | --- | --- | --- | | LSPatch+ | High | Fast | General | | MS-LSPatch | High | Medium | General | | DeepLSPatch | State-of-the-art | Fast | General | | LSPatch-Net | State-of-the-art | Fast | General | | LSPatch-MID | High | Medium | Medical image denoising | | LSPatch-IDB | High | Medium | Image deblurring | lspatch modules 2021

The LSPatch modules developed in 2021 have shown significant improvements in terms of restoration quality, efficiency, and applicability. A comparison of the modules is presented in Table 1. LSPatch (Least Squares Patch) is a widely used

[1] [Insert references cited in the paper] We also discuss the current state of LSPatch,

[Insert appendix with additional information, such as detailed experimental results, implementation details, and visual examples]

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