Abstract: A method of determining the point-spread function (PSF) of an imaging system includes the steps of capturing image data, establishing an idealized source spot, establishing a functional form model, subtracting the captured image from the estimated image equation and determining a metric that measures the fit of the estimated image to the captured image. The functional form model may include both diffraction and aberration and stray light. The functional form model may be optimized to reduce the metric to an acceptable level.

Abstract: A method of determining the point-spread function (PSF) of an imaging system includes the steps of capturing image data, establishing an idealized source spot, establishing a functional form model, subtracting the captured image from the estimated image equation and determining a metric that measures the fit of the estimated image to the captured image. The functional form model may include both diffraction and aberration and stray light. The functional form model may be optimized to reduce the metric to an acceptable level.

Abstract: The present invention is directed toward correcting a corrupted image of an object to remove the effects of smearing or misdirected flux in the image, wherein the image comprises one or more dimensions and has a plurality of image elements. The method of the present invention comprises the steps of: a) sampling portions of the image of the object at unequal intervals, the intervals being selected to effect an implicit weighting of the samples corresponding to a predetermined weighting function; b) summing the implicitly weighted samples to create an approximation to a weighted integral; c) repeating steps a)-b) to compute weighted integrals associated with each of the plurality of image elements thereby to obtain a correction to the image. The present invention is also implemented as a computer readable medium for controlling a computer to implement the steps of the method and in apparatus form.

Abstract: The present invention is directed toward correcting a corrupted image of an object to remove the effects of smearing or misdirected flux in the image, wherein the image comprises one or more dimensions and has a plurality of image elements.

Abstract: A computer-aided method and an apparatus generates and displays, on a display device, an accurate predictive simulation of the appearance of a color pattern of a hypothetical heather yarn fabric, such as a tufted carpet, comprised of multiple candidate heather yarn components. Starting from a set of user-selected initial conditions a model is generated representing the appearance of a hypothetical heather yarn and the appearance that would be imparted to a hypothetical fabric made from that yarn. Parameters are incorporated into the model that relate appearance properties to actual yarn manufacturing process conditions. The resulting simulated-color coordinates are transformed into the typically radiometrically nonlinear color space of the particular display device to permit the colors to be accurately displayed so as to be properly perceptible to a viewer.