Results 91 to 100 of about 18,250,440 (204)

Fast Single Image Super-Resolution

CoRR, 2015
This paper addresses the problem of single image super-resolution (SR), which consists of recovering a high resolution image from its blurred, decimated and noisy version. The existing algorithms for single image SR use different strategies to handle the decimation and blurring operators.
Zhao, Ningning, Wei, Qi, Basarab, Adrian, Dobigeon, Nicolas, Kouame, Denis, Tourneret, Jean-Yves   +5 more
openaire   +2 more sources

Local learning-based image super-resolution

, 2011
Local learning algorithm has been widely used in single-frame super-resolution reconstruction algorithm, such as neighbor embedding algorithm [1] and locality preserving constraints algorithm [2].
YuanHaoliang, YuanYuan, LiLuoqing, Yuan, Yuan, YanPingkun, LuXiaoqiang, LiXuelong   +6 more
core  

Image Super-Resolution with Adversarial Learning [PDF]

, 2019
Single-image super-resolution refers to the problem of generating a high-resolution image from a low-resolution one. In this work we address to the problem of single-image super-resolution of degraded low-resolution images.
Boem, Davide
core  

Super-Resolution Reconstruction of Cell Pseudo-Color Image Based on Raman Technology

Sensors, 2019
Raman spectroscopy visualization is a challenging task due to the interference of complex background noise and the number of selected measurement points.
Yifan Yang, Ming Zhu, Yuqing Wang, Hang Yang, Yanfeng Wu, Bei Li   +5 more
doaj   +1 more source

Super-resolution image processing with application to face recognition [PDF]

, 2008
Subject identification from surveillance imagery has become an important task for forensic investigation. Good quality images of the subjects are essential for the surveillance footage to be useful.
Lin, Frank Chi-Hao
core  

Pairwise operator learning for patch based single-image super-resolution [PDF]

, 2017
Motivated by the fact that image patches could be inherently represented by matrices, single-image super-resolution is treated as a problem of learning regression operators in a matrix space in this paper. The regression operators that map low-resolution
Shao, Ling, Tang, Yi
core   +1 more source

PRED: A Parallel Network for Handling Multiple Degradations via Single Model in Single Image Super-Resolution

, 2019
Existing SISR (single image super-resolution) methods mostly assume that a low-resolution (LR) image is bicubicly down-sampled from its high-resolution (HR) counterpart, which inevitably give rise to poor performance when the degradation is out of ...
Jianwen Chen, Wenyi Wang, Liaoyuan Zeng, Guangyang Wu, Lili Zhao, Wu, Guangyang, Zhao, Lili, Wang, Wenyi, Chen, Jianwen (R13673), Zeng, Liaoyuan   +9 more
core   +1 more source

Efficient mixed transformer for single image super-resolution

Engineering Applications of Artificial Intelligence
Recently, Transformer-based methods have achieved impressive results in single image super-resolution (SISR). However, the lack of locality mechanism and high complexity limit their application in the field of super-resolution (SR). To solve these problems, we propose a new method, Efficient Mixed Transformer (EMT) in this study.
Ling Zheng, Jinchen Zhu, Jinpeng Shi, Shizhuang Weng   +3 more
openaire   +2 more sources

Image Super-Resolution Using Complex-Valued Deep Convolutional Neural Network

Syrian Journal for Science and Innovation
Single image super-resolution (SISR) is a fundamental task in computer vision that aims to generate high-resolution images from low-resolution inputs. The Super-Resolution Convolutional Neural Network (SRCNN) is a widely used method for SISR, but it has ...
Hilda Zaher , Assef Jafar , Bassem Alsahwa   +2 more
doaj   +1 more source

Evaluation of image resolution and super-resolution on face recognition performance

, 2012
While researchers strive to improve automatic face recognition performance, the relationship between image resolution and face recognition performance has not received much attention.
Fookes, Clinton B., Frank Lin, Sridharan, Sridha, Sridha Sridharan, Chandran, Vinod, Vinod Chandran, Lin, Frank C., Clinton Fookes   +7 more
core   +1 more source