Abstract
Information security is a major concern. Several methods are proposed for securing digital images by either encrypting or scrambling them. As digital images are huge in size, scrambling the entire image would be a time consuming process. To overcome this constraint, partial image scrambling method has been proposed in this paper. The proposed method has been rigorously tested so as to find out which components in the wavelet domain can be removed from scrambling process at the cost of quality in descrambled images. A number of experimental parameters have been used for analysis and it has been observed that DCT and Hartley wavelet transforms are the best performers.
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Kekre, H.B., Sarode, T., Halarnkar, P.N. (2016). Partial Image Scrambling Using Walsh Sequency in Sinusoidal Wavelet Transform Domain. In: Berretti, S., Thampi, S., Srivastava, P. (eds) Intelligent Systems Technologies and Applications. Advances in Intelligent Systems and Computing, vol 384. Springer, Cham. https://doi.org/10.1007/978-3-319-23036-8_41
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DOI: https://doi.org/10.1007/978-3-319-23036-8_41
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