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WINNet: Wavelet-Inspired Image Denoising by Joseph Franklin is a document available to read on EtoBox.

What is WINNet: Wavelet-Inspired Image Denoising about?

The paper presents WINNet, a wavelet-inspired invertible network designed for image denoising that combines the strengths of model-based and learning-based approaches. It utilizes lifting inspired invertible neural networks (LINNs) to create a non-linear transform that maintains perfect reconstruction and sparsity, while also incorporating a noise estimation network for adaptive thresholding. WINNet demonstrates high interpretability and strong generalization ability across various noise levels, achieving c

Author

Joseph Franklin

Language

EN