Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Bayesian Blind Deconvolution with General Sparse Image Priors
Understanding and evaluating blind deconvolution algorithms
A Comparative Study for Single Image Blind Deblurring
Bayesian-Based Iterative Method of Image Restoration*
Blind Deblurring Using Internal Patch Recurrence
bayesian combination of sparse and non - sparse priors in image super resolution .
Image Deblurring via Enhanced Low-Rank Prior
Centralized sparse representation for image restoration
Unified Blind Method for Multi-Image Super-Resolution and Single/Multi-Image Blur Deconvolution
Learning an Optimizer for Image Deconvolution
Image Restoration: From Sparse and Low-Rank Priors to Deep Priors [Lecture Notes]
Image deblurring and denoising using color priors
Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization
Deconvolving Images with Unknown Boundaries Using the Alternating Direction Method of Multipliers
ForWaRD: Fourier-wavelet regularized deconvolution for ill-conditioned systems
A fast Iterative Shrinkage-Thresholding Algorithm with application to wavelet-based image deblurring
Constructing a sparse convolution matrix for shift varying image restoration problems
Learning Blind Motion Deblurring
Deep Convolutional Neural Network for Image Deconvolution
FPGA implementation of the Lucy-Richardson algorithm for fast space-variant image deconvolution
Efficient Patch-Wise Non-Uniform Deblurring for a Single Image
Cross-lingual Parser Selection for Low-resource Languages
Large-Scale Category Structure Aware Image Categorization
Detection of potato diseases using image segmentation and multiclass support vector machine
Environmentally Controlled Invasion of Cancer Cells by Engineered Bacteria
Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation