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Publication: IIP Proceedings Year: 2022, Month: November Page No: 118-126, ISSN/ISBN: 978-81-959356-3-5, DOI/Link: https://rsquarel.org/assets/docupload/rsl202343D14A2AB6C30F3.pdf
IMAGE ENHANCEMENT OF MAGNETIC RESONANCE IMAGING UNDER CLUSTERING ENVIRONMENT
Area/Stream: Computing Technologies and Data Sciences, Authors: Dr. V. Murugan Keywords: noise; filter; cluster; master-slave environment Book Name /series: Futuristic Trends in Computing Technologies and Data SciencesVolume 2, Book 18, Part 2, Chapter 4Publication: IIP Proceedings Year: 2022, Month: November Page No: 118-126, ISSN/ISBN: 978-81-959356-3-5, DOI/Link: https://rsquarel.org/assets/docupload/rsl202343D14A2AB6C30F3.pdf
Abstract:
The process of image denoising aims at the removal of noise from an image. Noise in an image can be perceived as pixels with varying intensity values rather than original pixel values. The main reason for noise occurrence may happen during image acquisition or image transmission. Thus, practically it is not possible to escape from noise. The quality of an image has its impact over the degree of noise present in an image. Hence, it is necessary to remove or reduce such noise, in order to improve the quality of an image. This chapter is basedon clientserver architecture and the focus is rendered on salt and pepper and gaussian noise. The input image is partitioned into four parts by the server and all the partitions are shared with the client systems. The client systems process the partitioned input by denoising algorithms and submit the outcome to the server. The server unites all the denoised images together to arrive at a single denoised image. This work saves much time and the image is denoised in a matter of seconds.
Cite this: Dr. V. Murugan,"IMAGE ENHANCEMENT OF MAGNETIC RESONANCE IMAGING UNDER CLUSTERING ENVIRONMENT", Futuristic Trends in Computing Technologies and Data SciencesVolume 2, Book 18, Part 2, Chapter 4, November, 2022, 118-126, 978-81-959356-3-5, https://rsquarel.org/assets/docupload/rsl202343D14A2AB6C30F3.pdf
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