Volume: 1 Issue: 1
Year: 2025, Page: 12-18,
Received: May 27, 2025 Accepted: Sept. 20, 2025 Published: Sept. 28, 2025
Securing image information has become a key concern with the rapid development of digital data transmission and storage. With the increasing use of images and videos in various fields such as social media, defense, and surveillance systems, it is important to protect personal and sensitive image data from unauthorized access. Image security has thus become a critical challenge. Protecting important and personal images is essential, and many methods have been investigated and developed to preserve data and private information. Among them, image encryption is one of the most widely used techniques to secure image data from unauthorized access. In this paper, an image encryption approach based on pixel value rotation and text file creation is proposed. First, the image size and image name are extracted. Then, the pixel values of each component (R, G, B) are obtained and rotated by a certain number of times. Finally, the rotated pixel values (R, G, B) are stored in a text file. Experiments have been conducted on various sets of images to validate the method.
Keywords: Encryption, Decryption, Rotation, Extraction, Password.
1. Honnaraju B, “Image Encryption by using pixel value rotation”, Presented in the International Conference on Electrical Engineering and Computer Science” at Trivandrum on 12th May 2012
2. R. Li, Q. Liu and L. Liu, “Novel image encryption algorithm based on improved logistic map,” IET Image Processing, vol.13,no.1, pp.125-134, 2019. doi: 2009. https://doi.org/10.1049/iet-ipr.2018.5900.
3. S. Sun, “A novel hyperchaotic image encryption scheme based on DNA encoding, pixel-level scrambling and bit-level scrambling,” IEEE Photonics Journal, vol.10,no.2, pp.1-14,2018. https://doi.org/10.1109/JPHOT.2018.2817550.
4. K.U. Shahna and A. Mohamed, “A novel image encryption scheme using both pixel level and bit level permutation with chaotic map,” Applied Soft Computing, vol.90, p.106162,2020. https://doi.org/10.1016/j.asoc.2020.106162.
5. X. Wang, N. Guan and J. Yang,”Image encryption algorithm with random scrambling based on one-dimensional logistic self-embedding chaotic map,” Chaos, Solitons & Fractals, vol.150, p.111117, 2021. https://doi.org/10.1016/j.chaos.2021.111117.
6. S. Anwar and S. Meghana, “A pixel permutation based image encryption technique using chaotic map,” Multimedia tools and applications, vol.78,no.19, pp.27569-27590, 2019.
7. Y. Pourasad, R. Ranjbarzadeh and A. Mardani, “A new algorithm for digital image encryption based on chaos theory,” Entropy, vol.23,no.3, p.341, 2021.
8. A. Alghafis, N. Munir, M. Khan and I. Hussain, “An encryption scheme based on discrete quantum map and continuous chaotic system,” International Journal of theoretical physics, vol.59,no.4, pp.1227-1240, 2020. https://doi.org/10.1007/s10773-020-04402-7.
© Published by INDEAMIND. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Honnaraju B, Murali S. Multilevel Image Encryption and Decryption Using Image Block Shuffling and Pixel Value Alternation. Ind J Eng Mgt Sci. 2025;1(1):12-18