Results 71 to 80 of about 750,933 (209)

Robust Multi-Frame Super-Resolution Based on Adaptive Half-Quadratic Function and Local Structure Tensor Weighted BTV

Sensors, 2021
It is difficult to improve image resolution in hardware due to the limitations of technology and too high costs, but most application fields need high resolution images, so super-resolution technology has been produced. This paper mainly uses information
Shanshan Liu, Minghui Wang, Qingbin Huang, Xia Liu   +3 more
doaj   +1 more source

A Low- and High-Resolution Terahertz Image Pair Construction Method With Gradient Fusion for Learning-Based Super-Resolution

IEEE Access, 2022
Quality and feature quantity of low- and high-resolution image pairs for training are directly related to performance of learning-based super-resolution methods.
Fei Yuan, Songbin Zhou, Taobo Cheng, Yisen Liu   +3 more
doaj   +1 more source

Tensor Ring Based Image Enhancement

Journal of Medical Signals and Sensors
Background: Image enhancement, including image de-noising, super-resolution, registration, reconstruction, in-painting, and so on, is an important issue in different research areas.
Farnaz Sedighin
doaj   +1 more source

Ultrasound Super Resolution Imaging

, 2021
An apparatus includes a processor and a display. The processor includes a combiner configured to combine contrast data acquired with a same sub-aperture, for each of a plurality of sub-apertures, to create a contrast frame for each of the sub-apertures.
Jensen, Jørgen Arendt, Taghavi, Iman
openaire   +2 more sources

Research on self-supervised super resolution restoration algorithm based on reflective micro-scanning optical system

Scientific Reports
The features of infrared image such as less details and low SNR become bottleneck of infrared image application. This paper mainly focuses on research of super-resolution restoration algorithm of infrared image based on reflective infrared micro-scanning
Jian Chen, Yuwei Wang, Xin Ye, Mo Chen, Qun Zhou   +4 more
doaj   +1 more source

A Unified Framework for Super-Resolution via Clean Image Prior

IEEE Access
Super-resolution (SR) methods aim to generate a clean, high-resolution (HR) image from a low-resolution (LR) image containing unknown degradations.
Songju Na, Yoonchan Nam, Suk-Ju Kang
doaj   +1 more source

4× Super‐resolution of unsupervised CT images based on GAN

IET Image Processing, 2023
Improving the resolution of computed tomography (CT) medical images can help doctors more accurately identify lesions, which is important in clinical diagnosis.
Yunhe Li, Lunqiang Chen, Bo Li, Huiyan Zhao   +3 more
doaj   +1 more source

EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis [PDF]

IEEE International Conference on Computer Vision, 2016
Single image super-resolution is the task of inferring a high-resolution image from a single low-resolution input. Traditionally, the performance of algorithms for this task is measured using pixel-wise reconstruction measures such as peak signal-to ...
Mehdi S. M. Sajjadi, B. Scholkopf, M. Hirsch   +2 more
semanticscholar   +1 more source

Lightweight Reference-Based Video Super-Resolution Using Deformable Convolution

Information
Super-resolution is a technique for generating a high-resolution image or video from a low-resolution counterpart by predicting natural and realistic texture information.
Tomo Miyazaki, Zirui Guo, Shinichiro Omachi   +2 more
doaj   +1 more source

Mapping super-resolution image quality

Light: Science & Applications
AbstractThe 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 image.
Megan A. Steves, Ke Xu
openaire   +5 more sources