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  • 标题:A Novel Perceptual Image Encryption Scheme Using Geometric Objects Based Kernel
  • 本地全文:下载
  • 作者:Prabhudev Jagadeesh ; P. Nagabhushan ; R. Pradeep Kumar
  • 期刊名称:International Journal of Computer Science & Information Technology (IJCSIT)
  • 印刷版ISSN:0975-4660
  • 电子版ISSN:0975-3826
  • 出版年度:2013
  • 卷号:5
  • 期号:4
  • 页码:165
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:The wide use of digital images and videos in various applications warrant serious attention to the securityand privacy issues today. Several encryption techniques have been proposed in recent years as feasiblesolutions to the protection of digital images and videos. In many applications, such as pay-per-view videos,pay-TV and video on demand, one of the required features is that the quality of the video data be degradedonly partially by some encryption technique and the encrypted data must still be partially perceptible. Thisfeature referred to as ‘Perceptual encryption’ is the encryption algorithm that degrades the quality ofmedia content according to security or quality requirements. In this work we propose a simple yet efficienttechnique for realizing perceptual encryption using geometric objects as kernels based on which the pixelsare permuted. Confusion aspect that is required is realized by inserting the kernel on the image and therebyperforming transposition of pixels based on the kernel formed out of geometric objects. The variousparameters of geometric objects, number of objects and the position of the objects/kernel in the image areused as the key for encryption and later on for decryption. Further a choice of quality of the image requiredi.e., different levels of degradation is provided by adjusting the above parameters of the objects/kernel.From the results obtained it is evident that the proposed method which is more apt for perceptualencryption can also be used effectively for full image encryption with acceptable level of security
  • 关键词:Image encryption; Video encryption; Perceptual encryption and PSNR.
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