Review of Different Image Fusion Techniques: Comparative Study-Reference-Cited by-同舟云学术

Review of Different Image Fusion Techniques: Comparative Study

Published:2020 Issue: Volume: Page:41-51
ISSN:2367-3370
Container-title:Internet of Things—Applications and Future
language:
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Author:

Elmasry Shrouk A.,Awad Wael A.,Abd El-hafeez Sami A.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-3075-3_3

Reference21 articles.

1. McAndrew, A. 2004. An introduction to digital image processing with Matlab notes for SCM 2511 image processing. School of Computer Science and Mathematics, Victoria University of Technology 264 (1): 1–264.

2. Deshmukh, M.D., and A.V. Malviya. 2015. Image fusion an application of digital image processing using wavelet transform. International Journal of Scientific & Engineering Research 6 (11): 1247–1255.

3. Dogra, A., B. Goyal, and S. Agrawal. 2017. From multi-scale decomposition to non-multi-scale decomposition methods: a comprehensive survey of image fusion techniques and its applications. IEEE Access 5: 16040–16067.

4. Sharma, M. 2016. A review: image fusion techniques and applications. International Journal of Computer Science and Information Technologies (IJCSIT) 7 (3): 1082–1085.

5. Kalaivani, K., and Y. Asnath Victy Phamila. Analysis of image fusion techniques based on quality assessment metrics. Indian Journal of Science and Technology 9 (31): 1–8.

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