Optimal approximation of uniformly rotated images: relationship between Karhunen-Loeve expansion and discrete cosine transform
- 1 January 1998
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing
- Vol. 7 (1) , 116-119
- https://doi.org/10.1109/83.650856
Abstract
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.Keywords
This publication has 6 references indexed in Scilit:
- Fast template matching based on the normalized correlation by using multiresolution eigenimagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Deformable kernels for early visionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A facial feature communications interface for the non-vocalIEEE Engineering in Medicine and Biology Magazine, 1993
- The design and use of steerable filtersPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- DISCRETE COSINE TRANSFORMPublished by Elsevier ,1990
- Comments on "Discrete Cosine Transform"IEEE Transactions on Computers, 1975