Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Denoising High Resolution Multispectral Images Using Deep Learning Approach
Deep Learning for Image Denoising
Enhanced CNN for image denoising
Deep Residual Convolutional Neural Network for Hyperspectral Image Super-Resolution
Denoising Prior Driven Deep Neural Network for Image Restoration
Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising
Deep Residual Convolutional Network for Natural Image Denoising and Brightness Enhancement
Global Image Denoising
Image denoising with multi-layer perceptrons, part 1: comparison with existing algorithms and with bounds
Deep Image Demosaicking using a Cascade of Convolutional Residual Denoising Networks
Medical image denoising using convolutional neural network: a residual learning approach
Image Denoising and Decomposition with Total Variation Minimization and Oscillatory Functions
Unsupervised Spectral–Spatial Feature Learning via Deep Residual Conv–Deconv Network for Hyperspectral Image Classification
Analysis of Multiresolution Image Denoising Schemes Using Generalized Gaussian and Complexity Priors
High-Resolution Multispectral Dataset for Semantic Segmentation
Benchmarking Denoising Algorithms with Real Photographs
Image Denoising in Mixed Poisson–Gaussian Noise
Hyperspectral image analysis using deep learning — A review
The SURE-LET Approach to Image Denoising
Seeing Mt. Rainier: Lucky imaging for multi-image denoising, sharpening, and haze removal
A Deep Network Architecture for Super-Resolution-Aided Hyperspectral Image Classification With Classwise Loss
APPLAUS: A Privacy-Preserving Location Proof Updating System for location-based services
Avatar: Mobile Distributed Computing in the Cloud
Understanding Representations Learned in Deep Architectures
Detection of Incipient Faults in Distribution Underground Cables
Debugging Big Data Analytics in Spark with BigDebug