Multi-Stage Image Compression-Decompression System Using PCA/IPCA to Enhance Wireless Transmission Security
Multi-Stage Image Compression-Decompression System Using PCA/IPCA to Enhance Wireless Transmission Security作者机构：Al-Nahrain University Baghdad Iraq
出 版 物：《Journal of Computer and Communications》 (电脑和通信（英文）)
年 卷 期：2022年第10卷第4期
页 面：87-96页
学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：Principle Component Analysis Inverse Principle Component Analysis Wireless Ad Hoc Network Transmission Control Protocol/Internet Protocol
摘 要：The goal of this paper is to propose a fast and secure multi-stage image compression-decompression system by using a wireless network between two Personal Computers (PCs). In this paper, the Principal Component Analysis (PCA) technique is used for multi-stage image compression and Inverse Principal Component Analysis (IPCA) for multi-stage image decompression. The first step of the proposed system is to select the input image, the second step is to perform PCA up to 9 times on the input image, this compression, and after multi-stage compression process then the third step begins by transforming across wireless Ad hoc Network (WANET) to the second computing device, forth step start with multi-stage decompression process up 9 times. The proposed system for different images is transferred over the wireless network using Transmission Control Protocol/Internet Protocol (TCP/IP), which is programmed using the network role property of the MATLAB program. The proposed system implements 25 different images correctly (100%). The main contribution of this paper is that we are dealing with the black image at the end of the compressed process ad start with a black image at the start of the decompressed process of this proposed system. In this work, the compressed and uncompressed images are compared with each other in their size and transmission time. This system can be very useful in networks because they provide a high level of protection to the transmitted data from hackers because they cannot guess how much the image has been compressed or what kind of information the image represents.
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