均匀旋转图像的最优逼近：卡尔胡宁 - 洛伊夫展开与离散余弦变换之间的关系

Optimal approximation of uniformly rotated images: relationship between Karhunen-Loeve expansion and discrete cosine transform.

作者信息

Uenohara M, Kanade T

出版信息

IEEE Trans Image Process. 1998;7(1):116-9. doi: 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.

摘要

我们提出了这样一个概念，即对于均匀旋转的图像，可以通过计算原始图像在极坐标下的离散余弦变换（DCT）的基向量来获得图像的最佳近似，并且图像可以表示为基向量的线性组合。