Journal ArticleDOI
Image super-resolution
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
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Journal ArticleDOI
Wedge Cameras for Minimally Invasive Archaeology
TL;DR: An optical device including a camera and a wedge waveguide that is optimized for imaging within confined spaces in archeology, to redirect light by total internal reflection to circumvent the lack of room, and to compute the final image from the raw data.
Book ChapterDOI
Adversarially Robust Deep Image Super-Resolution using Entropy Regularization
TL;DR: This paper proposes a defense method that is formulated as an entropy regularization loss for model training, which can be augmented to the original training loss of super-resolution models and shows that various state-of-the-art super- resolution models trained with this defense method are more robust against adversarial attacks than their original versions.
Journal ArticleDOI
Improving multiple-image super-resolution for mobile devices through image alignment selection
TL;DR: The technique aims to address misalignment issues from a previous work and further enhance the quality of HR images produced by the mobile MISR, and is observed to be comparable with other SR works in terms of visual quality and performance time.
Journal ArticleDOI
Hypergraph-regularized sparse representation for single color image super resolution
Minghua Wang,Qiang Wang +1 more
TL;DR: A novel Hypergraph-regularized Sparse coding-based Super Resolution (HG-ScSR) is proposed, which can not only focus on the illuminance information, but also exploit the self-channel and cross-channel information of three color RGB channels from high-resolution image patches.
Journal ArticleDOI
Super-Resolved Image Perceptual Quality Improvement via Multi-Feature Discriminators
TL;DR: Zhang et al. as mentioned in this paper designed a new GAN-based super-resolution framework which includes generator, image discriminator, morphological component discriminator and color discriminator.
References
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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.