Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)
Image being the visual representation of things is one of the most prominent modes of communication that is currently being studied. Image carrying information must be transmitted from one place to other place for further analysis. While transmission, noise gets added to signal. Thus, noisy image is enhanced as a pre - processing step. Performance parameters, SSIM and MSE are calculated for enhanced image. For transmission, bandwidth utilization and latency plays a crucial role, thus to minimize the resource utilization, the size of the image must be reduced. This reduction of image size is performed using Image Compression techniques. In this paper, a lossless LZW algorithm with bit - plane slicing and a lossy DWT algorithm is implemented for satellite and MRI brain medical images. The algorithms are evaluated by various performance metrics such as Compression ratio, entropy, PSNR and Mean Square Error.
"Image Compression Algorithms for Satellite and Medical Images", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 10, page no.802 - 806, October-2022, Available :http://www.ijrti.org/papers/IJRTI2210110.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator