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https://doi.org/10.17559/TV-20191030075647

Spatial Stimuli Gradient Based Multifocus Image Fusion Using Multiple Sized Kernels

Muhammad Muzammil*   ORCID icon orcid.org/0000-0002-9151-8491 ; International Islamic University, Islamabad, Pakistan, Room# 005, DEE, FET, IIUI, Sector H-10, Islamabad
Imdad Ali   ORCID icon orcid.org/0000-0002-5064-423X ; NCP, Quaid-e-Azam University, Islamabad, Pakistan NCP, QAU, Islamabad, Pakistan
Umer Javed ; International Islamic University, Islamabad, Pakistan Room 201, DEE, FET, IIUI, Sector H-10, Islamabad
Muhammad Amir ; International Islamic University, Islamabad, Pakistan DEE, FET, IIUI, Sector H-10, Islamabad
Ihsan Ulhaq ; International Islamic University, Islamabad, Pakistan DEE, FET, IIUI, Sector H-10, Islamabad

Puni tekst: engleski, pdf (4 MB) str. 113-122 preuzimanja: 41* citiraj
APA 6th Edition
Muzammil*, M., Ali, I., Javed, U., Amir, M. i Ulhaq, I. (2021). Spatial Stimuli Gradient Based Multifocus Image Fusion Using Multiple Sized Kernels. Tehnički vjesnik, 28 (1), 113-122. https://doi.org/10.17559/TV-20191030075647
MLA 8th Edition
Muzammil*, Muhammad, et al. "Spatial Stimuli Gradient Based Multifocus Image Fusion Using Multiple Sized Kernels." Tehnički vjesnik, vol. 28, br. 1, 2021, str. 113-122. https://doi.org/10.17559/TV-20191030075647. Citirano 20.04.2021.
Chicago 17th Edition
Muzammil*, Muhammad, Imdad Ali, Umer Javed, Muhammad Amir i Ihsan Ulhaq. "Spatial Stimuli Gradient Based Multifocus Image Fusion Using Multiple Sized Kernels." Tehnički vjesnik 28, br. 1 (2021): 113-122. https://doi.org/10.17559/TV-20191030075647
Harvard
Muzammil*, M., et al. (2021). 'Spatial Stimuli Gradient Based Multifocus Image Fusion Using Multiple Sized Kernels', Tehnički vjesnik, 28(1), str. 113-122. https://doi.org/10.17559/TV-20191030075647
Vancouver
Muzammil* M, Ali I, Javed U, Amir M, Ulhaq I. Spatial Stimuli Gradient Based Multifocus Image Fusion Using Multiple Sized Kernels. Tehnički vjesnik [Internet]. 2021 [pristupljeno 20.04.2021.];28(1):113-122. https://doi.org/10.17559/TV-20191030075647
IEEE
M. Muzammil*, I. Ali, U. Javed, M. Amir i I. Ulhaq, "Spatial Stimuli Gradient Based Multifocus Image Fusion Using Multiple Sized Kernels", Tehnički vjesnik, vol.28, br. 1, str. 113-122, 2021. [Online]. https://doi.org/10.17559/TV-20191030075647

Sažetak
Multi-focus image fusion technique extracts the focused areas from all the source images and combines them into a new image which contains all focused objects. This paper proposes a spatial domain fusion scheme for multi-focus images by using multiple size kernels. Firstly, source images are pre-processed with a contrast enhancement step and then the soft and hard decision maps are generated by employing a sliding window technique using multiple sized kernels on the gradient images. Hard decision map selects the accurate focus information from the source images, whereas, the soft decision map selects the basic focus information and contains minimum falsely detected focused/unfocused regions. These decision maps are further processed to compute the final focus map. Gradient images are constructed through state-ofthe-art edge detection technique, spatial stimuli gradient sketch model, which computes the local stimuli from perceived brightness and hence enhances the essential structural and edge information. Detailed experiment results demonstrate that the proposed multi-focus image fusion algorithm performs better than the other well known state-of-the-art multifocus image fusion methods, in terms of subjective visual perception and objective quality evaluation metrics.

Ključne riječi
focus map; image fusion; multi-focus; multi kernel; spatial domain fusion

Hrčak ID: 251519

URI
https://hrcak.srce.hr/251519

Posjeta: 109 *