Oct 27, 2023 · This paper presents a dynamic universal image restoration (DUIR) system capable of simultaneously processing multiple distortions.

Extensive experiments on multiple image dis- tortions demonstrate that our VRD-IR surpasses existing image restoration methods and show superior performance on ...

Deep multi-scale convolutional neural network for dynamic scene deblurring ... Denoising prior driven deep neural network for image restoration. 2020, CVPR ...

Jan 6, 2024 · Interactive image restoration aims to generate restored images by adjusting a controlling coefficient which determines the restoration level ...

Image Restoration for Single Degradation: IRSD aims to recover a clean image from the degraded obser- vation which is corrupted by only a specific degradation.

Jan 9, 2024 · In this paper, we will discuss the main sources of distortion in TEM and S(T)EM images, develop models to describe them, and propose a method to correct these ...

Restoration of Multiple Image Distortions using a Semi-dynamic Deep Neural Network · Computer Science, Engineering. ACM Multimedia · 2023.

Abstract. Image restoration aims to recover images from spatially- varying degradation. Most existing image-restoration models employed.

Aug 6, 2023 · The aim of image restoration is to recover high-quality images from distorted ones. However, current methods usually focus on a single task ...

Jan 24, 2024 · Interactive multi-dimension modulation with dynamic controllable residual learning for image restoration. In Computer Vision–ECCV 2020: 16th ...