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...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | أطروحة |
| اللغة: | English English |
| منشور في: |
2022
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| الموضوعات: | |
| الوصول للمادة أونلاين: | 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 |
| الوسوم: |
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الانترنت
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