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
Neural style transfer combined with EfficientDet for thermal surveillance
Aayushi Gautam,Sukhwinder Singh +1 more
TL;DR: In this paper, a novel style transferred enhanced image module STEIM enhances the resolution of IR input frame by utilizing the contextual information and exploiting the local and global features to preserve the high frequency details.
Journal ArticleDOI
Super-Resolution using Deep Learning to Support Person Identification in Surveillance Video
TL;DR: A Deep learning-based Super-Resolution system that aims to enhance the faces images captured from surveillance video in order to support suspect identification and increased the face recognition rate by 45.7%.
Journal ArticleDOI
A New Single Image Super-Resolution Method Based on the Infinite Mixture Model
TL;DR: A nonparametric Bayesian model for single-image super-resolution is proposed that is superior to some state-of-the-art methods and the two procedures are learned simultaneously to gain the suitable clusters with the ability of prediction.
Journal ArticleDOI
Multi-level U-net network for image super-resolution reconstruction
TL;DR: Wang et al. as mentioned in this paper proposed a multi-level U-Net network (MUN) for image super-resolution reconstruction, which used dual-branch convolutional layers with different kernels.
Journal ArticleDOI
Vision‐based displacement measurement enhanced by super‐resolution using generative adversarial networks
TL;DR: This study proposes a method to improve the displacement measurement accuracy using a deep learning super‐resolution model based on generative adversarial networks and achieves texture detail enhancement of low‐resolution images or videos by supplementing high‐resolution photographs of the target, thus improving the accuracy of the vision‐based displacement measurement.
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.