Demosaicking

17 papers with code · Computer Vision
Subtask of Image Restoration

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Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution

7 May 2019guochengqian/TENet

Despite the recent improvement of learning-based image processing methods in image quality, there lacks enough analysis into their interactions and characteristics under a realistic setting of the mixture problem of demosaicing, denoising and SR.

DEMOSAICKING DENOISING SUPER-RESOLUTION

Iterative Joint Image Demosaicking and Denoising using a Residual Denoising Network

16 Jul 2018cig-skoltech/deep_demosaick

Modern approaches try to jointly solve these problems, i. e. joint denoising-demosaicking which is an inherently ill-posed problem given that two-thirds of the intensity information is missing and the rest are perturbed by noise.

DEMOSAICKING DENOISING

Deep Image Demosaicking using a Cascade of Convolutional Residual Denoising Networks

ECCV 2018 cig-skoltech/deep_demosaick

Demosaicking and denoising are among the most crucial steps of modern digital camera pipelines and their joint treatment is a highly ill-posed inverse problem where at-least two-thirds of the information are missing and the rest are corrupted by noise.

DEMOSAICKING DENOISING

Reconfiguring the Imaging Pipeline for Computer Vision

ICCV 2017 cucapra/approx-vision

We propose a new image sensor design that can compensate for skipping these stages.

DEMOSAICKING

Handheld Multi-Frame Super-Resolution

8 May 2019JVision/Handheld-Multi-Frame-Super-Resolution

In this paper, we supplant the use of traditional demosaicing in single-frame and burst photography pipelines with a multiframe super-resolution algorithm that creates a complete RGB image directly from a burst of CFA raw images.

DEMOSAICKING MULTI-FRAME SUPER-RESOLUTION

Deep Mean-Shift Priors for Image Restoration

NeurIPS 2017 siavashbigdeli/DMSP

We show that the gradient of our prior corresponds to the mean-shift vector on the natural image distribution.

DEBLURRING DEMOSAICKING DENOISING IMAGE SUPER-RESOLUTION

Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems

ICCV 2017 tum-vision/learn_prox_ops

While variational methods have been among the most powerful tools for solving linear inverse problems in imaging, deep (convolutional) neural networks have recently taken the lead in many challenging benchmarks.

DEMOSAICKING DENOISING IMAGE DECONVOLUTION

HighEr-Resolution Network for Image Demosaicing and Enhancing

19 Nov 2019MKFMIKU/RAW2RGBNet

However, plenty of studies have shown that global information is crucial for image restoration tasks like image demosaicing and enhancing.

DEMOSAICKING

Iterative Residual CNNs for Burst Photography Applications

CVPR 2019 cig-skoltech/burst-cvpr-2019

In this work, we focus on the fact that every frame of a burst sequence can be accurately described by a forward (physical) model.

DEMOSAICKING DENOISING

Iterative Residual CNNs for Burst Photography Applications

CVPR 2019 cig-skoltech/burst-cvpr-2019

In this work, we focus on the fact that every frame of a burst sequence can be accurately described by a forward (physical) model.

DEMOSAICKING DENOISING