1. A method for a computer system comprises: capturing a first and a second image of a pixel on a display at coordinates (m, n) with an array of R×S sensors in an image sensor; determining a first and a second set of coordinates on the image sensor that map to coordinates (m,n) on the display for a first and a second group of sub-pixels, respectively, in response to the first and second image, respectively; determining a first and a second misalignment angle between the pixel on the display and the array of R×S sensors for the first group and the second group of sub-pixels, respectively; determining a first and a second x magnification ratio of pixels in the display relative to sensors in the image sensor for the first group and the second group of sub-pixels; determining a first and a second plurality of weighting factors Wij, where i&equals;1 to R, and j&equals;1 to S, respectively associated with sensors from the array of R×S sensors in response to the first and second misalignment angle, and the first and the second x magnification ratio, respectively; determining a first and second plurality of luminance values Lij, where i&equals;1 to R, and j&equals;1 to S, respectively associated with the sensors from the array of R×S sensors; determining a first and second luminance value Imn, according to the following relationship: Imn&equals;&Sgr;(Wij*Lij) for i&equals;I to R, and j&equals;1 to S, in response to the first and second plurality of weighting factors and the first and second plurality of luminance values, respectively; forming a first and a second reduced scaled image including a plurality of pixels, wherein a luminance value for a pixel at coordinate (m,n) in the first and the second reduced scaled image is determined in response to the first and the second luminance value Imn, respectively; and inspecting the first and the second reduced scaled image to identify potential defects of the pixel on the display.