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
Steganography with High Reconstruction Robustness: Hiding of Encrypted Secret Images
TL;DR: A new steganography algorithm, based on residual networks and pixel shuffle, is proposed, which combines image encryption and image hiding, named Resen-Hi-Net, an algorithm that first encrypts a secret image and then hides it in a carrier image to produce a meaningful container image.
Journal ArticleDOI
Non-local DWI Image Super-resolution with Joint Information Based on GPU Implementation
Journal ArticleDOI
Transmission Matrix Based Image Super-Resolution Reconstruction Through Scattering Media
TL;DR: All detailed information of high-resolution subpixel shifting target are preserved in its corresponding speckle signals and through phase conjugate reconstruction one can get target's low-resolution projection images with accuracy.
Journal ArticleDOI
Multiframe image superresolution based on cepstral analysis
TL;DR: The subjective and objective results show the superiority of the proposed algorithm over the conventional and state-of-the-art superresolution techniques.
Proceedings ArticleDOI
Image super-resolution based on structural dissimilarity learning dictionary
TL;DR: Experimental results demonstrate that the proposed nonlocal self-similarity to filter blocks that are not similar in structure can not only reduce the training time largely, but also achieve better results of SR.
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.