Histogram Based Visible Image Encryption for Real Time Applications
by Kiran 1,* 
, Sunil Kumar D S 2 , Bharath K N 3, Harshitha Rohith 4, Sharath Kumar A J 1 , Ganesh Kumar M T 4
1 Department of ECE, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India
2 Department of Computer Science, Mangalore University, Mangalore, India
3 Department of ECE, DSATM, Bangalore, India
4 Department of ECE, G Madegowda Institute of Technology, Bharathinagara, Mandya Karnataka, India
* Author to whom correspondence should be addressed.
Journal of Engineering Research and Sciences, Volume 1, Issue 7, Page # 1-6, 2022; DOI: 10.55708/js0107001
Keywords: Region of interest, Medical Images, Encryption, Histogram, Peak Detection
Received: 18 February 2022, Revised: 11 June 2022, Accepted: 26 June 2022, Published Online: 18 July 2022
APA Style
Kiran, K., S, S. K. D., N, B. K., Rohith, H., J, S. K. A., & T, G. K. M. (2022). Histogram Based Visible Image Encryption for Real Time Applications. Journal of Engineering Research and Sciences, 1(7), 1–6. https://doi.org/10.55708/js0107001
Chicago/Turabian Style
Kiran, Kiran, Sunil Kumar D S, Bharath K N, Harshitha Rohith, Sharath Kumar A J, and Ganesh Kumar M T. “Histogram Based Visible Image Encryption for Real Time Applications.” Journal of Engineering Research and Sciences 1, no. 7 (July 1, 2022): 1–6. https://doi.org/10.55708/js0107001.
IEEE Style
K. Kiran, S. K. D. S, B. K. N, H. Rohith, S. K. A. J, and G. K. M. T, “Histogram Based Visible Image Encryption for Real Time Applications,” Journal of Engineering Research and Sciences, vol. 1, no. 7, pp. 1–6, Jul. 2022, doi: 10.55708/js0107001.
Like most patient information, medical imaging data is subject to strict data protection and confidentiality requirements. This raises the issue of sending the data which contains a medical image on an open network as per the above issue, also there might be a leakage of information. Encrypting an Image and hiding the information in it is the Potential way of avoiding this problem. But there might be many problems when we try restoring the original image. As a solution to that, an algorithm dealing with region of intrest (ROI) in medical images based on the pixels of interest and histogram peak technique. Firstly Image histogram peak technique is used for calculating peaks in medical images. Then set the Threshold value to segregate the pixels of interest in the medical images. The threshold value can be calculated by taking an average of all peaks in the histogram. These pixels are encrypted with the help of the Sudoku matrix. The proposed scheme will be evaluated using a various test based on statistics along with those results which will be compared to benchmarks of the existing work. We can see the better performance in terms of security from the proposed technique.
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