Results 101 to 110 of about 18,250,440 (204)

An image super-resolution model based on improved latent space consistency training

上海师范大学学报. 自然科学版
In the field of image restoration, diffusion models can achieve high-quality reconstruction results, but they often come with high computational costs. Consistency models (CM) have alleviated this issue to some extent, but their research in image super ...
WEI Fengxi, ZHANG Xiangfen, YUAN Feiniu
doaj   +1 more source

A Single-Frame and Multi-Frame Cascaded Image Super-Resolution Method

Sensors
The objective of image super-resolution is to reconstruct a high-resolution (HR) image with the prior knowledge from one or several low-resolution (LR) images.
Jing Sun, Qiangqiang Yuan, Huanfeng Shen, Jie Li, Liangpei Zhang   +4 more
doaj   +1 more source

NEIGHBORHOOD ISSUE IN SINGLE-FRAME IMAGE SUPER-RESOLUTION

, 2008
Super-Resolution is the problem of generating one or a set of high-resolution images from one or a sequence of lowresolution frames. Most methods have been proposed for super-resolution based on multiple low resolution images of the same scene, which is ...
Kevin (xu Su, Qing Xue, Nicu Sebe, Jingsheng Ma, Qi Tian   +4 more
core  

Learning-Based Single Image Super Resolution [PDF]

, 2015
Recent advancements in signal processing techniques have led to obtain more high resolution images. A high resolution image refers to an image with high density of pixels.
Fakour Sevom, Vida
core  

Semantic-Aware Guided Low-Light Image Super-Resolution

IEEE Access
The single image super-resolution based on deep learning has achieved extraordinary performance. However, due to inevitable environmental or technological limitations, some images not only have low resolution but also low brightness.
Sheng Ren, Rui Cao, Wenxue Tan, Yayuan Tang   +3 more
doaj   +1 more source

Sinogram Interpolation Inspired by Single-Image Super Resolution. [PDF]

J Biotechnol Appl, 2023
Christiansen C, Zeng GL.
europepmc   +1 more source

Super Resolution Using a Single Image Dictionary

, 2014
To perform super resolution of low resolution images, state-of-the-art methods are based on learning a pair of lowresolution and high-resolution dictionaries from multiple images.
Ramakanth, Avinash S, Babu, Venkatesh R
core  

Mapping super-resolution image quality. [PDF]

The local quality of super-resolution microscopy images can be assessed and mapped by rolling Fourier ring correlation, even when image quality varies within a single ...
Xu, Ke, Megan A. Steves, Steves, Megan, Ke Xu   +3 more
core   +1 more source

Adapting Single-Image Super-Resolution Models to Video Super-Resolution: A Plug-and-Play Approach. [PDF]

Sensors (Basel), 2023
Wang W, Liu Z, Lu H, Lan R, Huang Y.
europepmc   +1 more source

Single-Frame Image Super-resolution through Contourlet Learning

EURASIP Journal on Advances in Signal Processing, 2006
We propose a learning-based, single-image super-resolution reconstruction technique using the contourlet transform, which is capable of capturing the smoothness along contours making use of directional decompositions.
Jiji CV, Chaudhuri Subhasis
doaj   +1 more source