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Number Theory Based Image Compression Encryption and Application to Image Multiplexing

机译:基于理论的图像压缩加密与图像复用的应用

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Image compression and image encryption are pivotal to proper storage and transmission of images. Simultaneous image compression and encryption aims at achieving enhanced bandwidth utilization and security at the same time. The proposed Number Theory based Image Compression Encryption (NTICE) algorithm employs number theoretic paradigm -Chinese Remainder Theorem, to solve congruencies and hence realize the twin ideals of compression and encryption simultaneously. The NTICE algorithm has been implemented on color images. The image coding results, calculated from actual image size and encoded image file, are comparable to the results obtained through much more sophisticated and computationally complex methods. In addition, the algorithm has been applied to the scenario of image multiplexing in order to obtain enhanced level of security along with compression.
机译:图像压缩和图像加密是关键的,以适当的存储和传输图像。同时图像压缩和加密旨在同时实现增强的带宽利用率和安全性。所提出的数字理论基于理论的图像压缩加密(NTICE)算法采用数量理论范式-Chinese剩余定理,解决同时性,因此同时实现了对压缩和加密的双胞胎理想。 NTICE算法已在彩色图像上实现。从实际图像大小和编码图像文件计算的图像编码结果与通过更复杂和计算复杂的方法获得的结果相当。另外,该算法已经应用于图像复用的场景,以便获得增强的安全水平以及压缩。

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