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
Genetic algorithm information security magnetic resonance imaging reversible data hiding
Birincil Dil | İngilizce |
---|---|
Konular | Mühendislik |
Bölüm | Research Articles |
Yazarlar | |
Erken Görünüm Tarihi | 11 Ekim 2022 |
Yayımlanma Tarihi | 31 Aralık 2022 |
Yayımlandığı Sayı | Yıl 2022Cilt: 6 Sayı: 2 |
The works published in Journal of Innovative Science and Engineering (JISE) are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.