Efficient octagonal compression of multimedia data using using LZW-OMCA compressor for secured data transmission
Article type: Research Article
Authors: Sreelatha, Tamminenia; * | Maheswari, M.b | Ravi, G.c | Manikanda Devarajan, N.d | Arun, M.e
Affiliations: [a] Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur District, Andhra Pradesh, India | [b] Department of Computational Intelligence, SRM Institute of Science and Technology, Kattankulathur, Chennai, India | [c] Department of ECE, Sona College of Technology, Salem, Tamilnadu, India | [d] Department of Electronics and Communication Engineering, Malla Reddy Engineering College, Medchal - Malkajgiri District, Telangana, India | [e] Department of ECE, Panimalar Engineering College, Tamilnadu, Chennai, India
Correspondence: [*] Corresponding author. Tammineni Sreelatha, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur District, Andhra Pradesh, 522502, India. E-mail: sreelatha457@gmail.com. Orchid: 0000-0002-0951-2796.
Abstract: Data compression is the ancestor of image compression, which uses fewer bits to represent the same picture. It is categorised as lossy or lossless depending on the quality required. In a lossless compression situation, no information is lost during the decompression process. Data loss is possible with the lossy technique since it is not reversible. In an effort to boost compression efficiency while maintaining a high xiv reconstruction quality of picture, near lossless approaches have evolved. The medical pictures consist of a large number of items, each of which may be described in detail and utilised for a variety of purposes. The clinically relevant item in 2D medical pictures is referred to as the Region of Interest (ROI), whereas in 3D images, it is referred to as the Volume of Interest (VOI). Saving energy is crucial since it is one of the most limited resources in these networks. However, DTN has an additional difficulty since communication between nodes is maintained so long as they are in physical proximity to one another. However, because to the nodes’ mobility, this may not be long enough to provide the necessary multimedia data transmission. Wireless networks are susceptible to security assaults, and traditional security solutions are computationally demanding, making them unsuitable for networks that constantly need to recharge their batteries. All of these are reasons for tackling the problems of multimedia data processing and transmission via wireless networks in this dissertation. With this in mind, it has been attempted to investigate low-overhead and safe multimedia data compression as a solution to the issue that energy-constrained nodes in these networks limit complex multimedia processing while keeping at least basic security features. LZW-OMCA compression using the Octagonal Multimedia Compression Algorithm is part of the suggested method. The purpose of this is to improve the compression ratio. The proposed approach uses a little bit of crypt to compress data, which makes the data unreadable to anybody except the intended receiver, hence providing network security. The previous proposed works analysed the performance of several compression algorithms applied to multimedia material. Performance assessment utilising MSE, SSIM, and other metrics are used to show the pros and cons of each segment.
Keywords: Octagonal multimedia compression algorithm, data compression, LZW-OMCA compression, MSE, SSIM
DOI: 10.3233/JIFS-234314
Journal: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 6, pp. 11135-11147, 2023
