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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Proceedings ArticleDOI
Deep learning for fast super-resolution reconstruction from multiple images
Michal Kawulok,Pawel Benecki,Krzysztof Hrynczenko,Daniel Kostrzewa,Szymon Piechaczek,Jakub Nalepa,Bogdan Smolka +6 more
TL;DR: This work explores how to exploit CNNs in multiple-image SRR and demonstrates that competitive reconstruction outcome can be obtained within seconds.
Journal ArticleDOI
Single image super-resolution reconstruction based on multi-scale feature mapping adversarial network
TL;DR: A multi-component loss function based on pixel-wise loss, perceptual loss and adversarial loss for a multi-scale feature mapping generator network for SISR image reconstruction model is proposed and showed that it could achieve the better balance between the high-frequency detail and stable spatial structure generation.
Journal ArticleDOI
MODIS ocean color product downscaling via spatio-temporal fusion and regression: The case of chlorophyll-a in coastal waters
TL;DR: The results in this study suggest that low spatial-resolution daily MODIS chlorophyll-a products can be downscaled to higher resolution (30 m) products based on the U-STFM image fusion model and NASA’s OC2M-HI regression model to better understand the dynamic patterns of chlorophyLL-a concentration in coastal waters.
Journal ArticleDOI
Super Resolution Infrared Thermal Imaging Using Pansharpening Algorithms: Quantitative Assessment and Application to UAV Thermal Imaging.
TL;DR: In this article, the potential of these algorithms when applied to thermal images from unmanned aerial vehicles (UAVs) was analyzed, by means of a quantitative procedure, when they are applied to fuse high-resolution images with thermal images obtained from UAVs, in order to be able to choose the method that offers the best quantitative results.
Proceedings ArticleDOI
Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations
TL;DR: Wang et al. as mentioned in this paper proposed a deep SISR network that works for blur kernels of different sizes, and different noise levels in an unified residual CNN-based denoiser network.
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.