Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation

Hasan F. Ates, Suleyman Yildirim, Bahadir K. Gunturk

Abstract: Highlights•An iterative deep network architecture is proposed for blind single-image super-resolution.•The model contains separate modules for image reconstruction, blur kernel estimation and noise estimation.•The model achieves state-of-the-art results for noisy images that contain motion blur.