利用 6D 超混沌的新型图像压缩技术和通过光纤安全传输压缩卫星图像

IF 2.2 4区 地球科学 Q3 ENVIRONMENTAL SCIENCES Journal of the Indian Society of Remote Sensing Pub Date : 2024-09-05 DOI:10.1007/s12524-024-01984-1
Banhi Das, Arijit Saha, Somali Sikder
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引用次数: 0

摘要

本作品提出了一种用于安全传输压缩卫星图像的高效光学收发器系统。然而,大多数已报道的技术都无法在压缩比和还原图像的峰值信噪比(PSNR)值之间实现良好的平衡,同时也无法保持系统的鲁棒性,防止非法窃听。为了改善这些弱点,我们引入了一种加密技术,将 6D 超混沌序列与由设计的逻辑电路控制的随机数相结合,在传输前对图像进行加密。为了优化光信道的传输带宽,我们采用了改进的运行长度编码和解码压缩-解压缩算法,与现有方法相比,该算法被证明能提供更好的压缩比。此外,以足够高的 PSNR 和适当的相关系数对传输图像进行有效还原,是本研究中基于身份验证的图像压缩技术的两个关键方面。我们从相关参数、PSNR、信息熵、直方图分析、密钥敏感性分析、密钥空间分析、差分分析和压缩比等方面对结果进行了检验。已知明文攻击(KPA)、自选明文攻击(CPA)、自选密文攻击(CCA)、裁剪攻击和噪声攻击验证了加密系统的鲁棒性。密码系统生成的比特流的随机性由 NIST SP 800-22 随机性测试套件进行测试。仿真结果表明,所提出的技术足以有效地恢复图像,具有非常高的 PSNR 和相关系数值 1。我们提出的技术实现的压缩率为 2.008,与当代的无损压缩技术相比,效果要好得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A Novel Image Compression Technique and Secured Transmission of Compressed Satellite Images Via Optical Fiber Using 6D Hyper Chaos

The present work proposes an efficient optical transceiver system for secured transmission of compressed satellite images. However, most of the reported techniques fail to achieve a good balance between the compression ratio and Peak Signal to Noise (PSNR) value of the restored image maintaining system robustness against illegal eavesdropping at the same time. To improve these weaknesses, we have introduced an encryption technique combining 6D hyperchaotic sequence with random number controlled by the designed logic circuit for enciphering images before transmission. To optimize the transmission bandwidth through the optical channel, the Modified Run Length Encoding and decoding compression-decompression algorithm is used which is proven to provide a better compression ratio in comparison to existing methods. Furthermore, efficient restoration of the transmitted image with a sufficiently high PSNR and an appropriate correlation coefficient are the two crucial aspects of any authentication-based image compression technique addressed in this communication. The results are examined in terms of correlation parameter, PSNR, information entropy, histogram analysis, key sensitivity analysis, key space analysis, differential analysis and compression ratio. Robustness of the cryptosystem is verified by Known Plaintext Attack (KPA), Chosen Plaintext Attack (CPA), Chosen Ciphertext Attack (CCA), cropping attack and noise attack. Randomness of the bit stream generated by the cryptosystem is tested by the NIST SP 800-22 Randomness Test Suite. Simulation results show that the proposed technique is efficient enough for proper recovery of images with very high PSNR and correlation coefficient of value 1. The compression ratio achieved by our proposed technique is 2.008, which is proven to be much better as compared to contemporary lossless compression techniques.

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来源期刊
Journal of the Indian Society of Remote Sensing
Journal of the Indian Society of Remote Sensing ENVIRONMENTAL SCIENCES-REMOTE SENSING
CiteScore
4.80
自引率
8.00%
发文量
163
审稿时长
7 months
期刊介绍: The aims and scope of the Journal of the Indian Society of Remote Sensing are to help towards advancement, dissemination and application of the knowledge of Remote Sensing technology, which is deemed to include photo interpretation, photogrammetry, aerial photography, image processing, and other related technologies in the field of survey, planning and management of natural resources and other areas of application where the technology is considered to be appropriate, to promote interaction among all persons, bodies, institutions (private and/or state-owned) and industries interested in achieving advancement, dissemination and application of the technology, to encourage and undertake research in remote sensing and related technologies and to undertake and execute all acts which shall promote all or any of the aims and objectives of the Indian Society of Remote Sensing.
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