Optimal approximation of uniformly rotated images : relationship between Karhunen-Loeve expansion and discrete cosine transform
We present the concept that for uniformly rotated images, the optimal approximation of the images can be obtained by computing the basis vectors for the discrete cosine transform (DCT) of the original image in polar coordinates, and that the images can be represented as linear combinations of the ba...
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 7(1998), 1 vom: 28., Seite 116-9 |
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| Format: | Article en ligne |
| Langue: | English |
| Publié: |
1998
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
| Sujets: | Letter |
| Résumé: | We present the concept that for uniformly rotated images, the optimal approximation of the images can be obtained by computing the basis vectors for the discrete cosine transform (DCT) of the original image in polar coordinates, and that the images can be represented as linear combinations of the basis vectors |
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| Description: | Date Completed 15.12.2009 Date Revised 12.02.2008 published: Print CommentIn: IEEE Trans Image Process. 2002;11(3):332-4. doi: 10.1109/83.988965. - PMID 18244635 Citation Status PubMed-not-MEDLINE |
| ISSN: | 1941-0042 |
| DOI: | 10.1109/83.650856 |