Journal ArticleDOI
Image super-resolution
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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
Heavy-Tailed Self-Similarity Modeling for Single Image Super Resolution
TL;DR: This paper derives a Variational Bayes algorithm, which super resolves low-resolution images, where the assumed distribution for the quantified similarity between two image patches is heavy-tailed, and proves mathematically that the proposed algorithm is both an extended and superior version of the probabilistic Non-Local Means (NLM).
Book ChapterDOI
Trainable Regularization for Multi-frame Superresolution
TL;DR: It is shown that learning a regularizer for the SR problem improves the reconstruction results compared to an iterative reconstruction algorithm using TV or TGV regularization.
Journal ArticleDOI
Düşük Çözünürlüklü Termal Yüz Görüntü Çözünürlüğünün Derin Öğrenme İle Artırılması
Fatih Mehmet Şenalp,Murat Ceylan +1 more
TL;DR: In this paper, a super resolution application was carried out on RGB thermal images of human faces by using adversarial generating networks and batch normalization layers were used in both the generative network and the discriminator network part in order to avoid the problem of gradient disappearance during the training of the Generative Adversarial Network (GAN).
Journal ArticleDOI
Guided Cascaded Super-Resolution Network for Face Image
TL;DR: The proposed guided cascaded face super-resolution network, called GCFSRnet, can generate facial images with clear outlines and rich details, which are superior to other state-of-the-art methods such as SRResNet, SRGAN, VDSR, DBPN, etc.
Journal ArticleDOI
P2Sharpen: A progressive pansharpening network with deep spectral transformation
TL;DR: Zhang et al. as mentioned in this paper proposed a progressive pansharpening network with deep spectral transformation (P2Sharpen) to balance the performance in different resolutions and make full use of the observed satellite data to improve the quality of fused results.
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.