利用有损图像压缩的图像加密

Kapil Mishra, Ravi Saharan
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引用次数: 1

摘要

随着网络技术的不断进步,大量的数据需要通过网络传输,这给网络传输带来了更多的挑战。这些数据的很大一部分是多媒体类型的,包括通过网络发送和接收的大量数字图像。提出了一种基于行长编码和henon混沌映射的图像压缩与加密集成技术。行长编码是一种常用的编码方式,也是图像压缩的自然选择。运行长度编码生成(value, count)对,使值重复' count '次。在本文中,我们使用运行长度编码技术对有损图像进行压缩。我们设计了一种有损行长的编码器,利用了人眼对数字图像细节的像素冗余和视觉不可感知性。随着压缩,我们执行图像加密使用henon混沌映射。加密后,图像的大小和分辨率被改变,进一步提高了安全性。进行了各种实验,计算各种性能矩阵-直方图,信息熵,PSNR,压缩比和MSE。该算法具有足够的安全性,可以挫败各种统计攻击,同时易于实现和快速。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image encryption utilizing lossy image compression
As the network technologies are improving, more challenges are coming forward in form of huge amount of data being transferred through the network. A large portion of such data is of multimedia type consisting of huge amount of digital images being sent and received through the network. In this paper, an integrated image compression and encryption technique using run length encoding scheme and henon chaotic map is presented. Run length encoding scheme is common scheme and a natural choice for image compression. Run length encoding generates (value, count) pairs such that the value is repeated ‘count’ number of times. In this paper, we used the run length encoding technique for lossy image compression. We designed a lossy run length encoder that exploits the pixel redundancy and visual imperceptibility of human eye to fine details in the digital images. Along with compression we perform image encryption using henon chaotic map. After encryption the size and resolution of the image is changed that further enhances the security. Various experiments are performed calculating various performance matrices-histogram, information entropy, PSNR, Compression ratio, and MSE. The algorithm is secure enough to thwart various statistical attacks while being easy to implement and fast.
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