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Research Article
An Analytical Study of Image Fusion Techniques in Image Processing for Data Security & Privacy
R. SaiKumar1
Dr. V. Sulochana2
1Research Scholar, Department of Computer Science, Sankara College of Science and Commerce,Coimbatore, Tamilnadu, India. 2Assistant Professor, Department of Computer Applications, Hindustan College of Arts & ScienceCollege, Coimbatore, Tamilnadu, India.
Published Online: July-August 2024
Pages: 01-03
Cite this article
↗ https://www.doi.org/10.59256/ijire.20240504001
References
1. K.Mohan, S.Magesh Kumar, “Informationsecurity using image fusion”, International journal of Information & Computation
Technology, Volume: 2, 2012, pp. 111-123.
2. Shiveta Bhat, Deepika Koundal, “Multi focus image fusion techniques: a survey”, Artificial intelligence review, multi-focus image
fusion techniques: a survey | SpringerLink, 07-02-2021.
3. T.Saikumar, et.al., “Comparison techniquesof image fusion in image segmentation”,International conference on computer and
communication technology, 2014.
4. Saleha Masood, Muhammad Sharif and Team, “Image Fusion methods: A survey”, Journal of Engineering science and technology
review, pp.186-194,2017.
5. Mirza Abdur Razzaq, et.al., “Digital Imagesecurity, fusion of encryption, steganography and watermarking”,International journal
of advanced computer science and application, vol. 8, issue. 5, 2017.
6. Harpeet Kaur, Deepika Koundal and team,“Image fusion techniques: survey”,Archieves of computational methods
inengineering, Springer 2021,https://doi.org/10.1007/s11831-021-09540- 7.
7. Rui Zhao, Yong Wang, et.al., “Visual fusionof network security data in image recognition”, IEEE Access, 2020.
8. Shi, et.al., “Deep convolutional feature- based image recognition”, Journal of Image& Video processing, vol. 2017, no. 1, pp.33,
2017.
9. Alexander.M, “Multimodality data visualization with VOI based integration”, IEEE Journal of biomedical and health infomatics,
vol.20, 2017.
10. Kazar, et.al., “Network security distributedto detect the intrusion system” Internationaljournal of communication network, vol.16,
pp. 335-347, 2016.
11. Pak, team “High performed packet classification for network system”, IEEE transaction on secure computing, vol.1, 207.
12. Toet, team, “Multiscale contrastenhancement with image fusion technology”, International journal of opticalengineering, 31(5),
2018.
13. Fechner, et.al., “Pixel based image fusion techniques”, journal of defence sensing and controls, pp.378-388, 2017.
14. R. SaiKumar, et.al., “Watermarking and key generation technique using DWT algorithm in 3-D image”, International journal
of recent technology and engineering, vol.8, issue.2, 2019.
Technology, Volume: 2, 2012, pp. 111-123.
2. Shiveta Bhat, Deepika Koundal, “Multi focus image fusion techniques: a survey”, Artificial intelligence review, multi-focus image
fusion techniques: a survey | SpringerLink, 07-02-2021.
3. T.Saikumar, et.al., “Comparison techniquesof image fusion in image segmentation”,International conference on computer and
communication technology, 2014.
4. Saleha Masood, Muhammad Sharif and Team, “Image Fusion methods: A survey”, Journal of Engineering science and technology
review, pp.186-194,2017.
5. Mirza Abdur Razzaq, et.al., “Digital Imagesecurity, fusion of encryption, steganography and watermarking”,International journal
of advanced computer science and application, vol. 8, issue. 5, 2017.
6. Harpeet Kaur, Deepika Koundal and team,“Image fusion techniques: survey”,Archieves of computational methods
inengineering, Springer 2021,https://doi.org/10.1007/s11831-021-09540- 7.
7. Rui Zhao, Yong Wang, et.al., “Visual fusionof network security data in image recognition”, IEEE Access, 2020.
8. Shi, et.al., “Deep convolutional feature- based image recognition”, Journal of Image& Video processing, vol. 2017, no. 1, pp.33,
2017.
9. Alexander.M, “Multimodality data visualization with VOI based integration”, IEEE Journal of biomedical and health infomatics,
vol.20, 2017.
10. Kazar, et.al., “Network security distributedto detect the intrusion system” Internationaljournal of communication network, vol.16,
pp. 335-347, 2016.
11. Pak, team “High performed packet classification for network system”, IEEE transaction on secure computing, vol.1, 207.
12. Toet, team, “Multiscale contrastenhancement with image fusion technology”, International journal of opticalengineering, 31(5),
2018.
13. Fechner, et.al., “Pixel based image fusion techniques”, journal of defence sensing and controls, pp.378-388, 2017.
14. R. SaiKumar, et.al., “Watermarking and key generation technique using DWT algorithm in 3-D image”, International journal
of recent technology and engineering, vol.8, issue.2, 2019.
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