Title :
Adaptive Gabor transformation for image processing
Author :
Teuner, A. ; Hosticka, B.J.
Author_Institution :
Fraunhofer Inst. of Microelectron. Circuits & Syst., Duisburg, Germany
fDate :
1/1/1993 12:00:00 AM
Abstract :
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
Keywords :
adaptive filters; data compression; discrete cosine transforms; image coding; image processing; transforms; DCT; Gabor coefficients; Gabor transformation; LMS algorithm; adaptive filter; coding; complex least mean-square algorithm; discrete cosine transformation; efficiency; image compression; image processing; numerical characteristics; Adaptive filters; Brain modeling; Discrete cosine transforms; Frequency; Gabor filters; Gaussian processes; Image coding; Image processing; Least squares approximation; Speech analysis;
Journal_Title :
Image Processing, IEEE Transactions on
