EN
An Application of Non-Dominated Sorting Genetic Algorithm for Reversible Data Hiding Based on Histogram Shifting in Neuroimages
Abstract
This paper presents an application of a multi-objective non-dominated sorting genetic algorithm with a modified chromosome encoding for histogram shifting-based multiple reversible data hiding scheme in neuroimages which aims to minimize distortion and maximize capacity. The modified chromosomes encoding scheme is designed according to the zero-bin characteristic of the intensity histogram of the structural magnetic resonance imaging scans of the human brain. A detailed experimental study has been carried out for assessing the effect of non-dominated sorting for multi-objective optimization compared to Euclidian distance, the convenience of modified chromosome encoding scheme for medical images compared to non-medical images. The performance of the proposed method has been measured in terms of the peak signal-to-noise ratio (PSNR) for image quality and the bits per pixel (bpp) for capacity assessments. The experimental results show that the proposed method is better than its counterparts
Keywords
References
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Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Publication Date
December 31, 2022
Submission Date
June 25, 2022
Acceptance Date
August 26, 2022
Published in Issue
Year 2022 Volume: 6 Number: 2
APA
Er, F., & Yalman, Y. (2022). An Application of Non-Dominated Sorting Genetic Algorithm for Reversible Data Hiding Based on Histogram Shifting in Neuroimages. Journal of Innovative Science and Engineering, 6(2), 233-247. https://doi.org/10.38088/jise.1135756
AMA
1.Er F, Yalman Y. An Application of Non-Dominated Sorting Genetic Algorithm for Reversible Data Hiding Based on Histogram Shifting in Neuroimages. JISE. 2022;6(2):233-247. doi:10.38088/jise.1135756
Chicago
Er, Füsun, and Yıldıray Yalman. 2022. “An Application of Non-Dominated Sorting Genetic Algorithm for Reversible Data Hiding Based on Histogram Shifting in Neuroimages”. Journal of Innovative Science and Engineering 6 (2): 233-47. https://doi.org/10.38088/jise.1135756.
EndNote
Er F, Yalman Y (December 1, 2022) An Application of Non-Dominated Sorting Genetic Algorithm for Reversible Data Hiding Based on Histogram Shifting in Neuroimages. Journal of Innovative Science and Engineering 6 2 233–247.
IEEE
[1]F. Er and Y. Yalman, “An Application of Non-Dominated Sorting Genetic Algorithm for Reversible Data Hiding Based on Histogram Shifting in Neuroimages”, JISE, vol. 6, no. 2, pp. 233–247, Dec. 2022, doi: 10.38088/jise.1135756.
ISNAD
Er, Füsun - Yalman, Yıldıray. “An Application of Non-Dominated Sorting Genetic Algorithm for Reversible Data Hiding Based on Histogram Shifting in Neuroimages”. Journal of Innovative Science and Engineering 6/2 (December 1, 2022): 233-247. https://doi.org/10.38088/jise.1135756.
JAMA
1.Er F, Yalman Y. An Application of Non-Dominated Sorting Genetic Algorithm for Reversible Data Hiding Based on Histogram Shifting in Neuroimages. JISE. 2022;6:233–247.
MLA
Er, Füsun, and Yıldıray Yalman. “An Application of Non-Dominated Sorting Genetic Algorithm for Reversible Data Hiding Based on Histogram Shifting in Neuroimages”. Journal of Innovative Science and Engineering, vol. 6, no. 2, Dec. 2022, pp. 233-47, doi:10.38088/jise.1135756.
Vancouver
1.Füsun Er, Yıldıray Yalman. An Application of Non-Dominated Sorting Genetic Algorithm for Reversible Data Hiding Based on Histogram Shifting in Neuroimages. JISE. 2022 Dec. 1;6(2):233-47. doi:10.38088/jise.1135756
