<p class="papertitle">Characterization of Alzheimer MRI Image based on Image Compression Techniques</p>
Online Publishing @ NISCAIR
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Authentication Code |
dc |
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Title Statement |
<p class="papertitle">Characterization of Alzheimer MRI Image based on Image Compression Techniques</p> |
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Added Entry - Uncontrolled Name |
Pandiani, R ; School of EEE, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India Kumari, S Lalitha; School of EEE, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India |
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Uncontrolled Index Term |
CR; Encoding; EZW; PSNR; SPIHT |
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Summary, etc. |
<p>The motive of this work is to develop an Algorithm for compression with high compression and good value of PSNR. The target presently changed by including appropriate transform and encoding strategies to accomplish the task. The ideal of image compression is chosen depending on a trade off among PSNR and CR. The goal is additionally discovering an ideal algorithm for medical image compression. The MR imaging are used in this work. To guarantee the nature of the planned methods, the component extraction strategies, which are the pre-solicitation of the grouping calculations, have been discovered and the outcomes uncover that the use of image doesn't modify the portrayal conduct of the medical images.<strong></strong></p> |
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Publication, Distribution, Etc. |
Journal of Scientific and Industrial Research (JSIR) 2021-01-11 11:01:43 |
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Electronic Location and Access |
application/pdf http://op.niscair.res.in/index.php/JSIR/article/view/43673 |
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Data Source Entry |
Journal of Scientific and Industrial Research (JSIR); ##issue.vol## 79, ##issue.no## 11 (20) |
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Language Note |
en |
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