Title :
Multispectral image restoration with multisensors
Author :
Boo, K.J. ; Bose, N.K.
Author_Institution :
Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
Abstract :
A procedure is advanced to restore a single color image, which has been degraded by a linear shift-invariant blur in the presence of additive noise. Four sensors are needed, followed by the application of the RGB-YIQ transformation. Subsequently, one 3-D Wiener filtration is required on a sequence of two luminance components and a 2-D Wiener filter is needed on each of the two chrominance components. For the procedure to be successful, the imposition of a strongly coprime condition on the wavenumber response of two distinct sensor blur functions is necessary. The resulting well-conditioned problem is shown to provide high-quality color images
Keywords :
Gaussian noise; Wiener filters; deconvolution; filtering theory; image colour analysis; image restoration; sensor fusion; spectral analysis; white noise; 2-D Wiener filter; 3-D Wiener filtration; RGB-YIQ transformation; additive noise; chrominance components; color image; distinct sensor blur functions; high-quality color images; linear shift-invariant blur; luminance components; multisensors; multispectral image restoration; strongly coprime condition; wavenumber response; well-conditioned problem; Additive noise; Color; Colored noise; Degradation; Image restoration; Image sensors; Layout; Multispectral imaging; Sensor phenomena and characterization; Wiener filter;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.560993
