Experimental Analysis of Color Image Scrambling in the Spatial Domain and Transform Domain

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.

@article{Kishore2019,
  title     = {Experimental Analysis of Color Image Scrambling in the Spatial Domain and Transform Domain},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {10},
  number    = {6},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {R. Rama Kishore and Sunesh},
  doi       = {10.14569/IJACSA.2019.0100642},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100642}
}