The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Pixel-level Image Fusion using Wavelets and Principal Component Analysis
Open accessAbstract
Image registration and fusion are of great importance in defence and civilian sectors, e.g. , recognising a ground/air force vehicle and medical imaging. Pixel-level image fusion using wavelets and principal13; component analysis has been implemented and demonstrated in PC MATLAB. Different performance metrics with and without reference image are implemented to evaluate the performance of image fusion algorithms. As expected, the simple averaging fusion algorithm shows degraded13; performance. The ringing tone presented in the fused image can be avoided using wavelets with shift invariant property. It has been concluded that image fusion using wavelets with higher level of decomposition showed better performance in some metrics and in other metrics, principal components analysis showed better performance.13;
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Cites
Daubechies, I. (1992) · doi:10.1137/1.9781611970104 · Cited by 15,979
Image quality measures and their performance
Eskicioglu, A. M., & Fisher, P. S. (1995) · IEEE Transactions on Communications · doi:10.1109/26.477498 · Cited by 2,117
Cited by
Multi-Focus Image Fusion: Algorithms, Evaluation, and a Library
Zafar, R., Farid, M. S., & Khan, M. H. (2020) · Journal of Imaging · doi:10.3390/jimaging6070060 · Cited by 29
Metadata
- Authors
- Naidu, V., & Raol, J.
- Venue
- Defence Science Journal
- Published
- 2008-05-24
- Volume
- 58
- Issue
- 3
- Pages
- 338-352
- ISSN
- 0011-748X (ISSN-L)
- 0976-464X
- OpenAlex
- W1979211583
- Cited by
- 423
- References
- 2
- FWCI
- 16.01
- Type
- journal article
- Language
- en
- Open access
- diamond
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