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Image Restoration

80 papers with code ยท Computer Vision

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The Power of Triply Complementary Priors for Image Compressive Sensing

16 May 2020

In this paper, we propose a joint low-rank and deep (LRD) image model, which contains a pair of triply complementary priors, namely \textit{external} and \textit{internal}, \textit{deep} and \textit{shallow}, and \textit{local} and \textit{non-local} priors.

COMPRESSIVE SENSING IMAGE RESTORATION

Hyperspectral Image Restoration via Global Total Variation Regularized Local nonconvex Low-Rank matrix Approximation

8 May 2020

From one aspect, local LR of HSIs is formulated using a non-convex $L_{\gamma}$-norm, which provides a closer approximation to the matrix rank than the traditional NN.

IMAGE RESTORATION

NTIRE 2020 Challenge on Image Demoireing: Methods and Results

6 May 2020

Track 1 targeted the single image demoireing problem, which seeks to remove moire patterns from a single image.

IMAGE RESTORATION

Neural Differential Equations for Single Image Super-resolution

2 May 2020

Although Neural Differential Equations have shown promise on toy problems such as MNIST, they have yet to be successfully applied to more challenging tasks.

IMAGE RESTORATION IMAGE SUPER-RESOLUTION

Unsupervised Lesion Detection via Image Restoration with a Normative Prior

30 Apr 2020

In this work, we approach unsupervised lesion detection as an image restoration problem and propose a probabilistic model that uses a network-based prior as the normative distribution and detect lesions pixel-wise using MAP estimation.

IMAGE RESTORATION

Virtual SAR: A Synthetic Dataset for Deep Learning based Speckle Noise Reduction Algorithms

23 Apr 2020

Synthetic Aperture Radar (SAR) images contain a huge amount of information, however, the number of practical use-cases is limited due to the presence of speckle noise in them.

DENOISING IMAGE RESTORATION

Distributed Learning and Inference with Compressed Images

22 Apr 2020

Moreover, we may only have compressed images at training time but are able to use original images at inference time, or vice versa, and in such a case, the downstream model suffers from covariate shift.

AUTONOMOUS DRIVING IMAGE COMPRESSION IMAGE RESTORATION SEMANTIC SEGMENTATION

Bringing Old Photos Back to Life

20 Apr 2020

Unlike conventional restoration tasks that can be solved through supervised learning, the degradation in real photos is complex and the domain gap between synthetic images and real old photos makes the network fail to generalize.

IMAGE RESTORATION

Moire Image Restoration using Multi Level Hyper Vision Net

18 Apr 2020

Inspired by these challenges in demoireing, a multilevel hyper vision net is proposed to remove the Moire pattern to improve the quality of the images.

DEMOSAICKING

KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow

11 Apr 2020

In our work, we propose a knowledge distillation (KD) framework for the image to image problems in the MRI workflow in order to develop compact, low-parameter models without a significant drop in performance.

IMAGE RECONSTRUCTION IMAGE RESTORATION MODEL COMPRESSION SUPER-RESOLUTION