Title :
Adaptive Selectivity Representation: Construction and Application in Enhancement
Author :
Aallaoui, M. El ; Bouhtouri, A. El ; Ayadi, A.
Author_Institution :
Lab. d´´Ingenierie Math. (LINMA), El-Jadida
Abstract :
This paper develops an adaptive representation for detecting different features in images, ranging from highly directional ones to fully isotropic ones. This new tool can indeed be tuned relatively to image features by decomposing them into a half continuous frame of directional wavelets with variable angular selectivity; and so can be seen as an adaptive selectivity representation, that extracts the geometric information of images, and is therefore well-suited for edge enhancement. Experimental results show that the proposed representation achieves better enhancement results than curvelet transform and nonsubsampled contourlet transform (NSCT) image enhancement methods.
Keywords :
feature extraction; image enhancement; image representation; wavelet transforms; adaptive selectivity representation; directional wavelet; edge enhancement; feature detection; image geometric information; variable angular selectivity; Biomedical imaging; Computer vision; Continuous wavelet transforms; Data mining; Finite impulse response filter; Fourier transforms; Image enhancement; Low pass filters; Transfer functions; Wavelet transforms;
Conference_Titel :
Electronics, Circuits and Systems, 2007. ICECS 2007. 14th IEEE International Conference on
Conference_Location :
Marrakech
Print_ISBN :
978-1-4244-1377-5
Electronic_ISBN :
978-1-4244-1378-2
DOI :
10.1109/ICECS.2007.4511253
