Abstract
This paper proposes two image-scrambling algorithms based on self-generated keys. First color image scrambling method works in the spatial domain, and second, works in the transform domain. The proposed methods cull the R, G, and B plane from the color image and scramble each plane separately by utilizing the self-generated keys. The keenness of security of proposed methods is the keys or parameters used in the scrambling process. The exploratory outcomes show that both proposed image scrambling technique performs well in terms of Number of pixel change rate (NPCR), Normalized correlation (NC), Entropy, and time consumed in encoding and decoding. The adequacy of the proposed framework has demonstrated on a data set of five images. In furtherance, the present paper gives a comparative performance analysis between proposed image scrambling methods of spatial domain and transform domain. The proposed paper also tosses some light on the scrambling work reported in the literature.
Highlights
With the fast advancement of computer network technology, a large amount of image data had transmitted, quickly and safely over the system that raises different security concerns
The present paper proposes two color image scrambling methods, one is in spatial domain and second is in transform domain that maintains the efficiency as well as complexity
The performance of presented algorithms is demonstrated through five different measures such as Bit Error Rate (BER), Number of Pixels Change Rate (NPCR), Entropy, Normalized correlation (NC) and Time consumed in scrambling and unscrambling
Summary
With the fast advancement of computer network technology, a large amount of image data had transmitted, quickly and safely over the system that raises different security concerns. The researcher performed pixel value modification alongside pixel position shuffling to improve security. Researchers majorly presented various image-scrambling algorithms in the spatial domain for grayscale images in comparison to the transform domain. In the case of color image scrambling, few researchers reported scrambling algorithm either in the spatial domain or in transform domain. The present paper proposes two color image scrambling methods, one is in spatial domain and second is in transform domain that maintains the efficiency as well as complexity. Both the color image scrambling methods utilizes the concept of self-generated keys. The proposed color image scrambling algorithm in the transform domain is represented by section 4.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Computer Science and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
