Title :
Non linear image enhancement in the space scale domain
Author :
Capodiferro, L. ; Ciotti, M. ; Jacovitti, G.
Author_Institution :
Fondazione Ugo Bordoni, Rome, Italy
Abstract :
In this work, we present a technique designed for improving the subjective quality of still and video images presenting lack of sharpness. The technique employs a wavelet image representation based on edges extracted at different resolution levels by smoothed differential operators [1], and makes use of non-linear processing in the multiresolution edge domain. In this contribution, after a concise illustration of the theoretical basis supporting the principle of Lipschitz coefficient restoration, the developed algorithms are described in some detail. Optimal non-linear amplification laws are determined for specific and general uses. Examples of sharpness restoration for different kind of image degradation are provided.
Keywords :
edge detection; image enhancement; image representation; image resolution; image restoration; Lipschitz coefficient restoration; differential operator smoothing; image degradation; multiresolution edge extraction domain; nonlinear image enhancement; optimal nonlinear amplification; sharpness restoration; space scale domain; still image subjective quality improvement; video image subjective quality improvement; wavelet image representation; Image edge detection; Image resolution; Image restoration; Noise; Wavelet coefficients; Wavelet domain;
Conference_Titel :
Signal Processing Conference, 2000 10th European
Conference_Location :
Tampere
Print_ISBN :
978-952-1504-43-3