Title :
Image representation with position-frequency localization
Author :
Gertner, I. ; Zeevi, Y.Y.
Author_Institution :
CAIP Center, Rutgers Univ., Piscataway, NJ, USA
Abstract :
A mathematical approach to image analysis and synthesis in the combined frequency-position space is presented. The formalism is based on the Zak (1967) transform, which provides one of the most fundamental tools for studies of nonstationary processes and images as such. Algorithms suitable for computation of Gabor (1946) expansion coefficients are presented and compared with regard to stability and computational complexity
Keywords :
picture processing; transforms; Gabor expansion coefficients; Zak transform; algorithms; computational complexity; frequency-position space; image analysis; image representation; image synthesis; nonstationary processes; position-frequency localization; stability; Discrete Fourier transforms; Discrete transforms; Equations; Fourier transforms; Frequency; Hilbert space; Image representation; Image texture analysis; Pixel; Space technology;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.150786
