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
Super-resolution generative adversarial networks using autoencoder reduce dimension
TL;DR: Li et al. as mentioned in this paper proposed a reduce dimension super-resolved GAN (RD-SRGAN), which obtains the latent feature representation of LR image by a pretrained AutoEncoder as input to the generator network.
Journal ArticleDOI
Multiscale Super-Resolution Remote Imaging via Deep Conditional Normalizing Flows
TL;DR: In this article , the authors proposed a multiscale super-resolution using a deep normalizing flow network for uncertainty-quantified and Monte Carlo estimates so that image enhancement for spacecraft vision tasks may be more robust and predictable.
Journal ArticleDOI
Yüz Görüntüleri İçin Yeni Bir Süper Çözünürlük Yaklaşımı ve Farklı Görüntü Kalitesindeki Veri Setlerinin Başarı Performansı Üzerindeki Etkileri
TL;DR: Süper çözünürlük uygulamaları için CelebA veri setinden farklı kalite seviyelerinde üç farklanı veri oluşturulmuştur as mentioned in this paper .
Proceedings ArticleDOI
Evaluation of Classic Super-Resolution Algorithms for Magnetic Resonance Images
TL;DR: This work presents three approachs to evaluate the selected SR algorithms in MRI, and determined which algorithm has better performance at processing MRI in terms of image quality and processing time.
Peer Review
Super Resolution with Interpolation-based Method: A Review
TL;DR: There is still the need to further develop this method since there are some improvements can be made in order to produce a good HR image from a LR image such as the edges structure, issues with artifacts, and textural quality of the image.
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.