Abstract: The present invention uses five regions of interest, 4 corners and 1 center to do Fourier Transform analysis to mark rough location of the streaks, if there is any. It sets the small window around the center in each Fourier Transform ROI to zero to mask the cluster of bright points caused by the lens rolloff or other noises. It use iterative linear regression to remove the random outliers and to search the best possible linear pattern. If it finds any streaks, it calculates the angle and converts it to the streak angle in spatial domain. Once a streak is detected, it can be removed by applying an inverse Fourier Transform on the processed magnitude and original phase Fourier Transform images.

Abstract: A method for detecting and removing noise from an image, the method includes the steps of applying a frequency transform to the image for obtaining a magnitude image; applying a threshold value to values of the magnitude image for obtaining threshold values; setting one or more threshold values to a predetermined value; and reconstructing the image from the magnitude image having the predetermined values for removing noise from the image.

Abstract: A method for detecting and removing noise from an image, the method includes the steps of applying a frequency transform to the image for obtaining a magnitude image; applying a threshold value to values of the magnitude image for obtaining threshold values; setting one or more threshold values to a predetermined value; and reconstructing the image from the magnitude image having the predetermined values for removing noise from the image.

Abstract: A method for testing an image sensor for photoresponse uniformity, the method includes the steps of providing a light source having inherent non-uniform light intensity characteristics; providing a light sensing device for measuring an intensity response of the light source on a predetermined image plane; determining an area on the image plane corresponding to an area for the image sensor; measuring pre-selected points of the determined area by the light sensing device for measuring incident light intensity from the light source on the image plane; interpolating non-measured points on the image plane representing an estimate of the non-uniformity of the light source at the non-measured points; inverting the interpolated image to represent the inverse of the light source non-uniformity; and applying the inverted image to the response of the image sensor which compensates for light source non-uniformity and enables the ability to quantify accurately the non-uniformity of the image sensor.