Regularized Multiframe Super-Resolution Image Reconstruction Using Linear and Nonlinear Filters
The primary goal of the multiframe super-resolution image reconstruction is to produce an image with a higher resolution by integrating information extracted from a set of corresponding images with low resolution, which is used in various fields. However, super-resolution image reconstruction approa...
Saved in:
Main Authors: | Mahmoud M. Khattab, Akram M. Zeki, Ali A. Alwan, Belgacem Bouallegue, Safaa S. Matter, Abdelmoty M. Ahmed |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/8309910 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Local Feature Filtering Method for Dynamic Multiframe Video Sequence Images
by: Dawei Zhang, et al.
Published: (2022-01-01) -
Deep Joint Demosaicking and Super-Resolution for Spectral Filter Array Images
by: Abdelhamid N. Fsian, et al.
Published: (2025-01-01) -
Image Super-Resolution Reconstruction Based on the Lightweight Hybrid Attention Network
by: Chu Yuezhong, et al.
Published: (2024-01-01) -
Comparison of Super Resolution Reconstruction Acquisition Geometries for Use in Mouse Phenotyping
by: Niranchana Manivannan, et al.
Published: (2013-01-01) -
Gradient pooling distillation network for lightweight single image super-resolution reconstruction
by: Zhiyong Hong, et al.
Published: (2025-02-01)