Comments on "optimal approximation of uniformly rotated images: relationship between Karhumen-Loeve expansion and discrete cosine transform"

Comments on "optimal approximation of uniformly rotated images: relationship between Karhumen-Loeve expansion and discrete cosine transform"
复制标题

对“均匀旋转图像的最优近似:Karhumen-Loeve展开与离散余弦变换之间的关系”的评论

DOI:
10.1109/83.988965
复制
发表时间:
2002
期刊:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
影响因子:
--
通讯作者:
Rae
Rae
中科院分区:
--
文献类型:
--
作者:
Rae

文献摘要

被引文献

相似文献

本文指出了上野原和Kanade的错误表述(见同上,vol.7,p.116-19,1998),在基于离散余弦变换(DCT)的特征向量表示的上下文中。利用重复的特征值,利用奇异值分解(SVD)可以构造出P × P真实的对称循环矩阵的特征向量矩阵,其中P表示均匀旋转图像的数目。或者等效地,它可以用离散哈特莱变换(DHT)来公式化。最后给出了一个P=4的算例,证明了分析的正确性.
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 x 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.