Hybridisation of single‐image super‐resolution with edge‐aware multi‐focus image fusion for edge enrichment

Author:

Gopalakrishnan Sreeja1ORCID,Ovireddy Saraniya1

Affiliation:

1. Department of ECEGovernment College of TechnologyCoimbatoreTN641013India

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference57 articles.

1. Multi‐focus image fusion based on non‐subsampled shearlet transform

2. Blind single image super resolution with low computational complexity

3. Variational image fusion approach based on TGV and local information

4. Rockinger O: ‘Pixel‐level fusion of image sequences using wavelet frames’.Proc. of the 16th Leeds Applied Shape Research Workshop Leeds UK July1996 pp.149–154

5. NSCT‐PCNN image fusion based on image gradient motivation;Ding S;IET Comput. Vis.,2017

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1. Neural network-based multisensor image fusion algorithm;Journal of Computational Methods in Sciences and Engineering;2023-02-04

2. Fusion of remote sensing images based on multi-resolution analysis;Journal of Physics: Conference Series;2023-01-01

3. Cascaded Residual Densely Connected Network for Image Super-Resolution;KSII Transactions on Internet and Information Systems;2022-09-30

4. De-Fencing and Multi-Focus Fusion Using Markov Random Field and Image Inpainting;IEEE Access;2022

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