A joint image super‐resolution network for multiple degradations removal via complementary transformer and convolutional neural network
Guoping Li,
Zhenting Zhou,
Guozhong Wang
Abstract:While recent years have witnessed the unprecedented success of deep convolutional neural networks (CNNs) and vision transformers in single‐image super‐resolution (SISR), the degradation assumptions are simple and usually bicubic downsampling. Thus, their performances will drop dramatically when the actual degradation does not match this assumption, and they lack the capability to handle multiple degradations (e.g. Gaussian noise, bicubic downsizing, and salt & pepper noise). To address the issues, in this … Show more
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