Title :
Blind and adaptive image restoration in the framework of a multiscale Gabor representation
Author :
Cristóbal, Gabriel ; Navarro, Rafael
Author_Institution :
Inst. de Opt., CSIC, Madrid, Spain
Abstract :
We present a blind method for space-variant image restoration, which can be applied to remove degradations due to either additive noise or blurring, but not both simultaneously. Restoration is performed using a multiscale Gabor (1946) representation, which consists of a pyramid of 4×4 Gaborian channels in frequency and orientation plus a zero-frequency residual. The definition of a generic undegraded image prototype in the Gabor domain, by averaging over many high quality (undegraded) images, permits one to carry out a blind recursive image restoration. The method has been tested with images degraded by computer simulated additive noise (Brownian fractal) and two examples of real blurring, obtaining good results in all cases
Keywords :
adaptive signal processing; deconvolution; fractals; image enhancement; image representation; image restoration; random noise; Brownian fractal; Gabor domain; Gaborian channels; adaptive image restoration; additive noise; blind image restoration; blind recursive image restoration; blurring; computer simulated additive noise; deconvolution; degraded images; generic undegraded image prototype; image enhancement; image restoration; multiscale Gabor representation; random noise; zero-frequency residual; Additive noise; Bandwidth; Degradation; Fractals; Frequency; Gabor filters; Image enhancement; Image restoration; Optical noise; Prototypes;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1994., Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-2127-8
DOI :
10.1109/TFSA.1994.467232
