Fast digital image encryption based on compressive sensing using structurally random matrices and Arnold transform technique

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• 作者：Nitin Rawat^a ; ^{nitin@gist.ac.kr" class="auth_mail" title="E-mail the corresponding author} ; Byoungho Kim^b ; ^{brandonkim@hanyang.ac.kr" class="auth_mail" title="E-mail the corresponding author} ; Rajesh Kumar^c
• 关键词：Fast compressive sensing ; Structurally random matrices ; Arnold transform ; Fractional Fourier transform ; Double random phase encoding
• 刊名：Optik - International Journal for Light and Electron Optics
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：127
• 期：4
• 页码：2282-2286
• 全文大小：1580 K

文摘

A new fast digital image encryption method based on compressed sensing approach using structurally random matrices and Arnold transform is proposed. Considering the natural images to be compressed in any domain, the fast compressed sensing based approach saves computational time, increases the quality of the image and reduces the dimension of the digital image by choosing one-fourth of the measurements. First, dimension reduction is utilized to compress the digital image with scrambling effect. Second, Arnold transformation is used to give the reduced digital image into more complex form. Then, the complex image is again encrypted by double random phase encoding process embedded with a host image; two random keys with fractional Fourier transform are been used as a secret keys. At the receiver, the decryption process is recovered by using TwIST algorithm. Experimental results including peak-to-peak signal-to-noise ratio between the original and reconstructed image are shown to analyze the validity of this technique and demonstrated our proposed method to be secure, fast, complex and robust.