Fraunhofer Inst. of Microelectron. Circuits and Syst., Duisburg.
IEEE Trans Image Process. 1993;2(1):112-7. doi: 10.1109/83.210872.
An algorithm that computes the Gabor coefficients of an image is presented. An adaptive filter that uses the complex least mean-square algorithm for their computation is proposed, and its numerical characteristics are discussed. It is shown that the filter is stable under certain conditions. Because the Gabor transformation seems to be an excellent tool for image compression, the efficiency of information coding using the Gabor coefficients is investigated and compared with coding that uses the coefficients of the discrete cosine transformation (DCT). Properties of both transformations are discussed.
本文提出了一种计算图像的 Gabor 系数的算法。提出了一种使用复最小均方算法计算其系数的自适应滤波器，并讨论了它的数值特性。结果表明，在一定条件下滤波器是稳定的。由于 Gabor 变换似乎是图像压缩的一种极好的工具，因此研究了使用 Gabor 系数进行信息编码的效率，并与使用离散余弦变换（DCT）系数进行编码进行了比较。讨论了两种变换的特性。
