INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This research investigates the utilization of Multilayer Perceptrons (MLPs) in image compression. We explore the efficacy of MLPs in reducing image file sizes while preserving visual quality. By training MLPs on diverse image datasets, we assess their compression performance across various configurations. Our findings reveal the potential of MLP-based image compression to revolutionize data storage and transmission in resource-constrained environments, offering a promising alternative to traditional compression algorithms. This study contributes to the development of neural network-based compression techniques and their practical applications in fields such as remote sensing, satellite imaging, and video streaming. Our methodology involves training MLPs on a diverse range of image datasets, varying network architectures, training strategies, and hyperparameters. We meticulously assess the trade-offs between compression ratios and image fidelity. By doing so, we aim to establish MLP-based image compression as a viable alternative to traditional methods.
"Using Multi-Layer Percepton techniques for lossless multi-spectral satellite image compression", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 1, page no.c236-c242, January-2024, Available :http://www.ijnrd.org/papers/IJNRD2401230.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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