DocumentCode
3136556
Title
Blind separation of images
Author
Sahlin, Henrik ; Broman, Holger
Author_Institution
Dept. of Appl. Electron., Chalmers Univ. of Technol., Goteborg, Sweden
Volume
1
fYear
1996
fDate
3-6 Nov. 1996
Firstpage
109
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-8186-7646-9
Type
conf
DOI
10.1109/ACSSC.1996.600839
Filename
600839
Link To Document