Null-Shot Image Super-Resolution Using Deep Identity Learning: A Computationally Efficient Approach Independent of Image Data
The proposed NSSR-DIL model learns the inverse degradation kernel from the degradation kernel itself, without the need for low-resolution (LR) image input, enabling computationally efficient and data-independent image super-resolution.