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...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Thesis |
| 語言: | English English |
| 出版: |
2022
|
| 主題: | |
| 在線閱讀: | http://eprints.utem.edu.my/id/eprint/26876/1/A%20region-based%20principal%20component%20analysis%20%28PCA%29%20technique%20for%20medical%20image%20compression.pdf http://eprints.utem.edu.my/id/eprint/26876/2/A%20region-based%20principal%20component%20analysis%20%28PCA%29%20technique%20for%20medical%20image%20compression.pdf |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
因特網
http://eprints.utem.edu.my/id/eprint/26876/1/A%20region-based%20principal%20component%20analysis%20%28PCA%29%20technique%20for%20medical%20image%20compression.pdfhttp://eprints.utem.edu.my/id/eprint/26876/2/A%20region-based%20principal%20component%20analysis%20%28PCA%29%20technique%20for%20medical%20image%20compression.pdf