Title :
Blind separation of images
Author :
Sahlin, Henrik ; Broman, Holger
Author_Institution :
Dept. of Appl. Electron., Chalmers Univ. of Technol., Goteborg, Sweden
Abstract :
The problem of separating two uncorrelated images from two observed mixtures of these images is considered in this paper. Each observed image is modeled as the sum of one original image and another original image filtered through a two dimensional FIR filter. An algorithm, to estimate these filters, is presented from a separation structure and a minimization of a criterion based on second order statistics. This separation structure can be used in order to extract two uncorrelated images. Simulation results are also presented.
Keywords :
FIR filters; filtering theory; image processing; minimisation; statistical analysis; two-dimensional digital filters; blind separation; minimization; observed image; original image; second order statistics; separation structure; simulation results; two dimensional FIR filter; uncorrelated images; Blind source separation; Convolution; Filters; Gaussian processes; Higher order statistics; Image restoration; Minimization methods; Pixel; Source separation;
Conference_Titel :
Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-7646-9
DOI :
10.1109/ACSSC.1996.600839
