Journal ArticleDOI
Image super-resolution
Reads0
Chats0
TLDR
This paper aims to provide a review of SR from the perspective of techniques and applications, and especially the main contributions in recent years, and discusses the current obstacles for future research.About:
This article is published in Signal Processing.The article was published on 2016-11-01. It has received 378 citations till now.read more
Citations
More filters
Journal ArticleDOI
Real-Time Video Scaling Based on Convolution Neural Network Architecture
S Safinaz,A. V. Ravi Kumar +1 more
TL;DR: The extensive results of proposed technique RemCNN (Reconstruction error minimization Convolution Neural Network) shows that the model outperforms the existing technologies such as bicubic, bilinear, MCResNet and provide better reconstructed motioning images and video frames.
Journal ArticleDOI
Spatial resolution enhancement of planar compound eye based on variational Bayesian multi-image super-resolution
TL;DR: The motion model of the multi-image super-resolution is improved in the variational Bayesian framework, and the derived joint estimation algorithm is used to enhance the resolution of the planar compound eye.
Journal ArticleDOI
Super-Resolution of License Plate Images Using Attention Modules and Sub-Pixel Convolution Layers
TL;DR: In this article , a single image super-resolution (SISR) approach was proposed to enhance the detection of structural and textural features in low-resolution license plate images by integrating attention and transformer modules.
Journal ArticleDOI
Dual Learning-Based Graph Neural Network for Remote Sensing Image Super-Resolution
TL;DR: In this article , a dual learning-based graph neural network (DLGNN) is proposed, in which the GNN is utilized to consider the self-similarity patches in remote sensing imagery by aggregating cross-scale neighboring feature patches, and dual learning strategy is adopted to refine the reconstruction results by constraining the mapping process in terms of the loss function.
Journal ArticleDOI
Video super-resolution using hybrid support vector regression–Actor Critic Neural Network model
A. M. Padma Reddy,Udaya Rani +1 more
TL;DR: This paper proposes an effective video resolution strategy using the hybrid Support vector regression–Actor Critic Neural Network (SVR–ACNN) model for video enhancement, and proves that the proposed model offers a better SR image with a better PSNR, SSIM, and SDME.
References
More filters
Journal ArticleDOI
Image quality assessment: from error visibility to structural similarity
TL;DR: In this article, a structural similarity index is proposed for image quality assessment based on the degradation of structural information, which can be applied to both subjective ratings and objective methods on a database of images compressed with JPEG and JPEG2000.
Book
Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers
TL;DR: It is argued that the alternating direction method of multipliers is well suited to distributed convex optimization, and in particular to large-scale problems arising in statistics, machine learning, and related areas.
Journal ArticleDOI
Regularization and variable selection via the elastic net
Hui Zou,Trevor Hastie +1 more
TL;DR: It is shown that the elastic net often outperforms the lasso, while enjoying a similar sparsity of representation, and an algorithm called LARS‐EN is proposed for computing elastic net regularization paths efficiently, much like algorithm LARS does for the lamba.
Journal ArticleDOI
Nonlinear total variation based noise removal algorithms
TL;DR: In this article, a constrained optimization type of numerical algorithm for removing noise from images is presented, where the total variation of the image is minimized subject to constraints involving the statistics of the noise.