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

• 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
• Institution: Universiti Teknologi Malaysia

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...