Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Automated Regularization Parameter Selection in Multi-Scale Total Variation Models for Image Restoration
nonlinear total variation based noise removal algorithms .
Robust Single-Image Super-Resolution Based on Adaptive Edge-Preserving Smoothing Regularization
Spatially Adaptive Intensity Bounds for Image Restoration
Centralized sparse representation for image restoration
Image Super-Resolution via Adaptive $\ell _{p} (0<p<1)$ Regularization and Sparse Representation
Hyper-parameter selection in non-quadratic regularization-based radar image formation
Adaptive Residual Networks for High-Quality Image Restoration
Bayesian-Based Iterative Method of Image Restoration*
Unsupervised, information-theoretic, adaptive image filtering for image restoration
Learning Iteration-wise Generalized Shrinkage–Thresholding Operators for Blind Deconvolution
Anisotropic diffusion-based detail-preserving smoothing for image restoration
From Local Kernel to Nonlocal Multiple-Model Image Denoising
A note on multi-image denoising
Blind image deconvolution using constrained variance maximization
Thresholding-based Iterative Selection Procedures for Model Selection and Shrinkage
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems
The Little Engine that Could: Regularization by Denoising (RED)
Weighted Schatten $p$ -Norm Minimization for Image Denoising and Background Subtraction
Robust Multi-Frame Super-Resolution Based on Spatially Weighted Half-Quadratic Estimation and Adaptive BTV Regularization
Non-Convex Weighted Schatten p-Norm Minimization based ADMM Framework for Image Restoration.
Nonlinear solution of linear inverse problems by wavelet-vaguelette decomposition
A Streaming Accelerator for Deep Convolutional Neural Networks with Image and Feature Decomposition for Resource-limited System Applications
Positive-bias temperature instability (PBTI) of GaN MOSFETs
Improving network security monitoring for industrial control systems
Relevance Feature Discovery for Text Mining