A region-based Principal Component Analysis (PCA) technique for medical image compression
Principal Component Analysis (PCA) is capable of completely decorrelating input data in the transform domain. However, PCA is limited in image compression because there is a need to encode the eigenvectors of the input data and thereby affects the rate-distortion performance. In an effort to improve...
| 第一著者: | Lim, Sin Ting |
|---|---|
| フォーマット: | 学位論文 |
| 言語: | 英語 英語 |
| 出版事項: |
2022
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| 主題: | |
| オンライン・アクセス: | http://eprints.utem.edu.my/id/eprint/26876/ https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=122202 |
| Abstract | Abstract here |
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