基于自适应位平面四叉树的BTC同步图像加密和压缩

P. K. Charles, K. Jyothi, E. Amulya, P. S. Rani
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引用次数: 2

摘要

在数字世界中,每天都有大量的数据被共享或存储。在共享数据时,可能会有未经授权的人访问数据。因此本研究通过修改标准JPEG压缩算法,对加密和同步解压缩、解密的方法进行了考察。该系统采用自适应位平面四叉树块截断编码(ABTC)技术,将压缩和加密相结合,解决了时间和成本的计算问题。结合边缘检测和自适应比特平面量化,采用了基于自适应比特平面四叉树的BTC算法。数据的加密可以通过密钥验证技术来完成。其主要和最终目标是确保数据不被未经授权的人获取,减少图像的冗余,并以有效的形式存储或传输数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simultaneous Image Encryption and Compression using Adaptive Bit Plane Quadtree-based BTC
In the digital World, huge amount of data is shared or stored every day. While sharing the data there may be a chance accessing of the data by an unauthorized persons. So In this study, by modifying standard JPEG compression algorithm, encryption and simultaneous decompression, decryption method is inspected. The proposed system deals with the computation of time and cost by combining compression and encryption by using Adaptive Bit plane Quad tree Block Truncation Coding (ABTC) technique. Here combined with edge detection and adaptive bit plane quantization, the adaptive bit plane quad tree-based BTC algorithm is used. The encryption of the data can be done with key validation technique. The main and ultimate goal is to secure the data from the unauthorized persons, to reduce the redundancy of the image and to store or transmit data in an efficient form.
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