Results 241 to 250 of about 389,857 (275)

Non-parametric single image super resolution

The 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, 2013
In this paper, we introduce a single image super resolution based on non-parametric local information. The basic idea of the proposed method is to use a property, which is inferred by relations between input and its lower resolution images, of an unknown high resolution image.
Yunsang Han, Tae Byeong Chae, Sangkeun Lee   +2 more
openaire   +1 more source

Edge-preserving single image super-resolution

Proceedings of the 19th ACM international conference on Multimedia, 2011
This paper proposes a novel approach to single image super-resolution. First, an image up-sampling scheme is proposed which takes the advantages of both bilateral filtering and mean shift image segmentation. Then we use a shock filter to enhance strong edges in the initial up-sampling result and obtain an intermediate high-resolution image. Finally, we
Qiang Zhou, Shifeng Chen, Jianzhuang Liu, Xiaoou Tang   +3 more
openaire   +1 more source

Coupled Deep Autoencoder for Single Image Super-Resolution

IEEE Transactions on Cybernetics, 2017
Sparse coding has been widely applied to learning-based single image super-resolution (SR) and has obtained promising performance by jointly learning effective representations for low-resolution (LR) and high-resolution (HR) image patch pairs. However, the resulting HR images often suffer from ringing, jaggy, and blurring artifacts due to the strong ...
Kun, Zeng, Jun, Yu, Ruxin, Wang, Cuihua, Li, Dacheng, Tao   +4 more
openaire   +2 more sources

Colorization for Single Image Super Resolution

2010
This paper introduces a new procedure to handle color in single image super resolution (SR). Most existing SR techniques focus primarily on enforcing image priors or synthesizing image details; less attention is paid to the final color assignment. As a result, many existing SR techniques exhibit some form of color aberration in the final upsampled ...
Shuaicheng Liu, Michael S. Brown, Seon Joo Kim, Yu-Wing Tai   +3 more
openaire   +1 more source

DCSR: Dilated Convolutions for Single Image Super-Resolution

IEEE Transactions on Image Processing, 2019
Dilated convolutions support expanding receptive field without parameter exploration or resolution loss, which turn out to be suitable for pixel-level prediction problems. In this paper, we propose multiscale single image super-resolution (SR) based on dilated convolutions.
Zhendong Zhang, Xinran Wang, Cheolkon Jung   +2 more
openaire   +2 more sources

Single-Image Super-Resolution: A Survey

2019
Single-image super-resolution has been broadly applied in many fields such as military term, medical imaging, etc. In this paper, we mainly focus on the researches of recent years and classify them into non-deep learning SR algorithms and deep learning SR algorithms.
Tingting Yao, Yu Luo, Yantong Chen, Dongqiao Yang, Lei Zhao   +4 more
openaire   +1 more source

Single Image Super-Resolution With Multiscale Similarity Learning

IEEE Transactions on Neural Networks and Learning Systems, 2013
Example learning-based image super-resolution (SR) is recognized as an effective way to produce a high-resolution (HR) image with the help of an external training set. The effectiveness of learning-based SR methods, however, depends highly upon the consistency between the supporting training set and low-resolution (LR) images to be handled.
Zhang, Kaibing, Gao, Xinbo, Tao, Dacheng, Li, Xuelong   +3 more
openaire   +3 more sources

Super-Resolution Fluorescence Microscopy for Single Cell Imaging

2018
In the past two decades, super-resolution fluorescence microscopy has undergone a dynamic evolution. Following proof-of-concept studies with stimulated emission depletion (STED) microscopy, several new approaches such as structured illumination microscopy (SIM), photoactivation localization microscopy (PALM) and stochastic optical reconstruction ...
Han, Feng, Xiaobo, Wang, Zhiwei, Xu, Xiaoju, Zhang, Yongju, Gao   +4 more
openaire   +2 more sources

Super resolution THz image from a single image

International Photonics and OptoElectronics, 2015
We introduce a method to recover the super-resolution THz image from a single low resolution image. The method combines the multi-image super resolution and example-based super resolution methods to achieve a super resolution image from one or more low resolution THz images.
Qin Luo, Yunkun Rao, Furi Ling, Peng Gao, Renkui Li, Jianquan Yao   +5 more
openaire   +1 more source

Single Image Super-Resolution Using ConvNeXt

2022 IEEE International Conference on Visual Communications and Image Processing (VCIP), 2022
Chenghui You, Chaoqun Hong, Lijuan Liu, Xuehan Lin   +3 more
openaire   +1 more source