A hybrid Chebyshev-ICA image fusion method based on regional saliency

A hybrid Chebyshev-ICA image fusion method based on regional saliency

An image fusion method that performs robustly for image sets heavily corrupted by noise is presented in this paper. The approach combines the advantages of two state-of-the-art fusion techniques, namely Independent Component Analysis (ICA) and Chebyshev Poly-nomial Analysis (CPA) fusion. Fusion usin...

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Bibliographic Details
Main Authors: Omar, Z., Stathaki, T., Mokji, M. M., Izhar, L. I.
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2017
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/75641/1/ZaidOmar_AHybridChebyshev-ICAImageFusion.pdf
http://eprints.utm.my/id/eprint/75641/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020225579&doi=10.12928%2fTELKOMNIKA.v15i2.6147&partnerID=40&md5=381733bd4595eb9cea48b76868db3fbd
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Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/id/eprint/75641/1/ZaidOmar_AHybridChebyshev-ICAImageFusion.pdf
http://eprints.utm.my/id/eprint/75641/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020225579&doi=10.12928%2fTELKOMNIKA.v15i2.6147&partnerID=40&md5=381733bd4595eb9cea48b76868db3fbd

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