wavelet structure similarity loss

Wavelet Structure Similarity Loss is a loss function used in computer vision tasks, designed to capture the structural information of images through multi-scale wavelet transforms, optimizing the model's performance at different frequencies to improve the quality of image reconstruction and generation tasks. This loss function can effectively enhance the model's sensitivity to details and edge features, improving the consistency and naturalness of visual effects, and is widely applied in areas such as image super-resolution, denoising, and style transfer.