Multiple bandpass filters in image processing

A system of bandpass filters, modelled on the early mechanisms of human vision, is described which provides a simple means to eliminate blur and noise from an image. The system automatically adjusts itself to suit local signal conditions in an image, without prior knowledge of signal statistics.

[1]  Michael F. Land,et al.  Optics and Vision in Invertebrates , 1981 .

[2]  Norbert Wiener,et al.  Extrapolation, Interpolation, and Smoothing of Stationary Time Series , 1964 .

[3]  A. Rose,et al.  Vision: human and electronic , 1973 .

[4]  Alvarez Re,et al.  Optimal processing of computed tomography images using experimentally measured noise properties. , 1979 .

[5]  D Marr,et al.  Early processing of visual information. , 1976, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[6]  J. Goodman Introduction to Fourier optics , 1969 .

[7]  P. R. Bell,et al.  Nonlinear Image Processing Methods , 1978, IEEE Transactions on Nuclear Science.

[8]  M. Georgeson,et al.  Contrast constancy: deblurring in human vision by spatial frequency channels. , 1975, The Journal of physiology.

[9]  George W. Stroke,et al.  Optical computing , 1972, IEEE Spectrum.

[10]  Roy Leipnik The Extended Entropy Uncertainty Principle , 1960, Inf. Control..

[11]  D Marr,et al.  Theory of edge detection , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.