We propose the fast algorithms for image scrambling using multi-dimensional orthogonal transform. The multi-dimensional orthogonal sequence can provide an orthogonal transform for image scrambling and descrambling. This scrambling method has the characteristic of high security because the keys for scrambling and descrambling are a set of the parameters to generate the orthogonal sequence. But the disadvantage of this method is that the computing complexity is high. In order to save the computing time, serial and parallel fast algorithms are proposed. When using these fast algorithms, another image can be used as a key to improve the security. For a binary image and a gray scale image, different sequences and fast algorithms are used to scramble. The experimental results show that these fast algorithms can effectively decrease the computing complexity and the histograms of digital image after scrambling have random Gaussian distribution.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    The Fast Realization of Image Scrambling Algorithm Using Multi-dimensional Orthogonal Transform


    Beteiligte:
    Li, Shuhong (Autor:in) / Wang, Junmin (Autor:in) / Gao, Xing (Autor:in)


    Erscheinungsdatum :

    01.05.2008


    Format / Umfang :

    414092 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Image Encryption Algorithm Based on Double Scrambling

    Wang, Hui / Wang, Qiang / Yu, Lijun et al. | British Library Conference Proceedings | 2019


    Three-Dimensional Scrambling Code for Multi-User MIMO Systems

    Gao, Wei / Ji, Xiaodong / Liu, Xiqing et al. | IEEE | 2022


    Efficient Image Scrambling using Polyphase Filter Banks

    Creusere, C. D. / Mitra, S. K. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994


    Efficient image scrambling using polyphase filter banks

    Creusere, C.D. / Mitra, S.K. | IEEE | 1994


    An n-Dimensional Space Audio Scrambling Algorithm Based on Random Matrix

    Li, H. / Qin, Z. / Zhang, X. | British Library Online Contents | 2010