Title :
Linear-quadratic noise-smoothing filters for quantum-limited images
Author :
Chah, C.L. ; Katsaggelos, Aggelos K. ; Sahakian, A.V.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
fDate :
9/1/1995 12:00:00 AM
Abstract :
We consider the use of nonlinear estimators for the noise smoothing of images obtained under quantum-limited imaging conditions. A Volterra expansion is investigated from which a set of linear-quadratic filters is derived using higher order statistics. The filters are applicable for single frame and multiple frames of a single scene imaged under low-light levels
Keywords :
Volterra equations; delay circuits; higher order statistics; image restoration; image sequences; noise; nonlinear filters; smoothing methods; Volterra expansion; higher order statistics; image sequences; linear-quadratic noise-smoothing filters; low-light levels; nonlinear estimators; nonlinear filters; quantum-limited images; quantum-limited imaging conditions; Biomedical optical imaging; Degradation; Image motion analysis; Magnetic noise; Motion estimation; Nonlinear filters; Nonlinear optics; Optical filters; Optical imaging; Optical noise;
Journal_Title :
Image Processing, IEEE Transactions on
