Majorization Resource for Visual Communication Effect of Multiframe Low-Resolution Photograph Sequence
-
Published:2024-08
Issue:4
Volume:58
Page:459-471
-
ISSN:0146-4116
-
Container-title:Automatic Control and Computer Sciences
-
language:en
-
Short-container-title:Aut. Control Comp. Sci.
Author:
Zhipeng Yu ,Qiang Wan
Reference25 articles.
1. Gultekin, G.K. and Saranli, A., Multi-frame motion deblurring of video using the natural oscillatory motion of dexterous legged robots, IET Image Process., 2019, vol. 13, no. 9, pp. 1502–1508. https://doi.org/10.1049/iet-ipr.2018.6678 2. Chen, Zh., Shao, X., Sun, W., Zhao, J., and He, X., Optimization of multiscale digital speckle patterns for multiscale deformation measurement using stereo-digital image correlation, Appl. Opt., 2021, vol. 60, no. 16, pp. 4680–4689. https://doi.org/10.1364/ao.423350 3. Masutani, E.M., Bahrami, N., and Hsiao, A., Deep learning single-frame and multiframe super-resolution for cardiac MRI, Radiology, 2020, vol. 295, no. 3, pp. 552–561. https://doi.org/10.1148/radiol.2020192173 4. Gong, R., Wang, Yi., Cai, Yi., and Shao, X., How to deal with color in super resolution reconstruction of images, Opt. Express, 2017, vol. 25, no. 10, pp. 11144–11156. https://doi.org/10.1364/oe.25.011144 5. He, H., Chen, T., Chen, M., Li, D., and Cheng, P., Remote sensing image super-resolution using deep–shallow cascaded convolutional neural networks, Sensor Rev., 2019, vol. 39, no. 5, pp. 629–635. https://doi.org/10.1108/sr-11-2018-0301
|
|