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Efficient Compression of Multimedia Data using Lempel–Ziv–Markov Chain Adaptive Block Compressive Sensing (LZMC-ABCS)

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Abstract

The exponential expansion of data in the digital world necessitates the development of effective methods for data transmission and storage. Data Compression strategies are presented to reduce the quantity of data that are saved and conveyed due to constrained resources. At this point, information security is a major problem. Techniques used in cryptography are those that conceal data while it is being stored or transmitted. Compression reduces the number of bits in the data. Thus, to achieve the highest level of security, it is preferable to employ both compression and encryption. In order to transmit data securely over a network, this study analyses encryption and lossless compression algorithms with additional security. Compression and encryption of digital photographs are necessary for confidentiality and effective bandwidth use. The majority of communication systems require both of these criteria. Separate encryption and compression techniques can occasionally lead to poorer performance or lower reconstruction quality. A simultaneous encryption and compression method for digital photos is presented in the paper. It alters ordinary JPEG compression so that data is encrypted while being compressed. The JPEG compressible picture encryption system is the foundation for the encryption procedures. It may be difficult to incorporate LZMC-ABCS algorithms into well-established multimedia systems and workflows due to their lack of standardization and compatibility with current compression formats and codecs. In order to guarantee seamless integration with multimedia applications and platforms, encourage interoperability, and ease uptake, standardization activities are required. The proposed Secure-JPEG technique combines encryption with lossless compression to offer both advantages. Compared to other techniques that take a similar approach, this one offer greater performance and reconstruction quality. Finally, performance measures were extracted and examined using cutting-edge techniques. Three performance measures were applied to the example medical images: PSNR, MSE, and SSIM. A thorough examination of the measuring metrics reveals that this method is more effective than other image processing methods. In this article, we discuss the Lempel–Ziv-Markov Chain algorithm, a popular data compression technique (LZMA). We contend that the synchronous dataflow model of computing more accurately describes the algorithm behavior in terms of formal model-based design. 256 grey levels and color images of varied sizes were used in the experiment. First, IWT-based LZMC ABCS was used to encrypt and compress these images. Then, this bit stream was further compressed utilizing the best confusion diffusion techniques employing Huffman coding. Finally, additional security was achieved by encrypting data using modified quadratic chaotic maps and a logistic map with a variable parameter.

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The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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  1. Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India

    M. Hema & S. Prayla Shyry

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  1. M. Hema
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Contributions

Authors' contributions: Conceptualization. Hema.; Methodology, M. Hema and S. Prayla Shyry; Software, M. Hema and S. Prayla Shyry; validation, S. Prayla Shyry; formal analysis, M. Hema.; investigation, M. Hema.; resources, M. Hema.; data curation, S. Prayla Shyry; writing—original draft preparation, M. Hema; writing—review and editing M. Hema.; visualization, S. Prayla Shyry; supervision, S. Prayla Shyry.; All authors have read and agreed to the published version of the manuscript.

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Correspondence to M. Hema.

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Hema, M., Shyry, S.P. Efficient Compression of Multimedia Data using Lempel–Ziv–Markov Chain Adaptive Block Compressive Sensing (LZMC-ABCS). Wireless Pers Commun (2024). https://doi.org/10.1007/s11277-024-11187-z

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