Deep learning approaches to inverse problems in imaging: Past, present and future

Dual attention per-pixel filter network for spatially varying image deblurring

(2021) Yanfang Zhang et al.   DIGITAL SIGNAL PROCESSING

A Deep Journey into Super-resolution

(2020) Saeed Anwar et al.   ACM COMPUTING SURVEYS

Restoration of Out-of-Focus Fluorescence Microscopy Images Using Learning-Based Depth-Variant Deconvolution

(2020) Da He et al.   IEEE Photonics Journal

Deep learning for a space-variant deconvolution in galaxy surveys

(2020) F. Sureau et al.   ASTRONOMY & ASTROPHYSICS

A TV-based image processing framework for blind color deconvolution and classification of histological images

(2020) Fernando Pérez-Bueno et al.   DIGITAL SIGNAL PROCESSING

A single video super-resolution GAN for multiple downsampling operators based on pseudo-inverse image formation models

(2020) Santiago López-Tapia et al.   DIGITAL SIGNAL PROCESSING

Learning Deep Gradient Descent Optimization for Image Deconvolution

(2020) Dong Gong et al.   IEEE Transactions on Neural Networks and Learning Systems

Variational EM method for blur estimation using the spike-and-slab image prior

(2019) Juan G. Serra et al.   DIGITAL SIGNAL PROCESSING

Joint blur kernel estimation and CNN for blind image restoration

(2019) Liqing Huang et al.   NEUROCOMPUTING

Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution

(2019) Alice Lucas et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology

(2019) David Tellez et al.   MEDICAL IMAGE ANALYSIS

Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods

(2018) Alice Lucas et al.   IEEE SIGNAL PROCESSING MAGAZINE

Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems

(2018) Jong Chul Ye et al.   SIAM Journal on Imaging Sciences

Deep unsupervised learning for image super-resolution with generative adversarial network

(2018) Guimin Lin et al.   SIGNAL PROCESSING-IMAGE COMMUNICATION

Deep Convolutional Neural Network for Inverse Problems in Imaging

(2017) Kyong Hwan Jin et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Fast single image super-resolution using sparse Gaussian process regression

(2017) Haijun Wang et al.   SIGNAL PROCESSING

Learning to Deblur

(2016) Christian J. Schuler et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Image Super-Resolution Using Deep Convolutional Networks

(2016) Chao Dong et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Variational Bayesian Blind Image Deconvolution: A review

(2015) Pablo Ruiz et al.   DIGITAL SIGNAL PROCESSING

Variational Dirichlet Blur Kernel Estimation

(2015) Xu Zhou et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

CRF learning with CNN features for image segmentation

(2015) Fayao Liu et al.   PATTERN RECOGNITION

Variational Bayesian Methods For Multimedia Problems

(2014) Zhaofu Chen et al.   IEEE TRANSACTIONS ON MULTIMEDIA

On Bayesian Adaptive Video Super Resolution

(2013) Ce Liu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Making a “Completely Blind” Image Quality Analyzer

(2012) A. Mittal et al.   IEEE SIGNAL PROCESSING LETTERS

No-Reference Image Quality Assessment in the Spatial Domain

(2012) A. Mittal et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

A super-resolution reconstruction algorithm for hyperspectral images

(2012) Hongyan Zhang et al.   SIGNAL PROCESSING

Fast Image Recovery Using Variable Splitting and Constrained Optimization

(2010) Manya V Afonso et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Variational Bayesian Super Resolution

(2010) S Derin Babacan et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING