IDENet: Implicit Degradation Estimation Network for Efficient Blind Super Resolution

• Published in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) pp. 6065 - 6075
• Main Authors: Khan, Asif Hussain, Micheloni, Christian, Martinel, Niki
• Format: Conference Proceeding
• Language: English
• Published: IEEE 17.06.2024
• Subjects: Closed-form solutions; Deconvolution; Degradation; Image synthesis; Superresolution; Systematics; Wiener filters

Blind image super-resolution (SR) aims to recover high-resolution (HR) images from low-resolution (LR) inputs hindered by unknown degradation. Existing blind SR methods exploit computationally demanding explicit degradation estimators hinging on the availability of ground-truth information about the...