Title :
Comments on "optimal approximation of uniformly rotated images: relationship between Karhumen-Loeve expansion and discrete cosine transform"
Author_Institution :
Dept. of Electron. Eng., Sogang Univ., Seoul, South Korea
fDate :
3/1/2002 12:00:00 AM
Abstract :
This paper points out the incorrect expressions of Uenohara and Kanade (see ibid., vol.7, p.116-19, 1998), in the context of the representation of the eigenvectors based on the discrete cosine transform (DCT). With the repeated eigenvalues, the eigenvector matrix of the P/spl times/P real symmetric circulant matrix can be constructed using the singular value decomposition (SVD), where P denotes the number of uniformly rotated images. Or equivalently it can be formulated in terms of the discrete Hartley transform (DHT). An example with P=4 is presented to show the correctness of our analysis.
Keywords :
Karhunen-Loeve transforms; approximation theory; discrete Hartley transforms; discrete cosine transforms; eigenvalues and eigenfunctions; image representation; optimisation; singular value decomposition; DCT; DHT; Karhunen-Loeve expansion; SVD; discrete Hartley transform; discrete cosine transform; eigenvalues; eigenvector matrix; eigenvectors; image representation; optimal approximation; real symmetric circulant matrix; singular value decomposition; uniformly rotated images; Covariance matrix; Discrete Fourier transforms; Discrete cosine transforms; Discrete transforms; Eigenvalues and eigenfunctions; Filters; Matrix decomposition; Singular value decomposition; Symmetric matrices; Vectors;
Journal_Title :
Image Processing, IEEE Transactions on