A method for calibrating a projector display system, said projector display system comprising a light source, a controller, said controller receiving input image data and outputting control signals, a premod modulator receiving control signals from said controller and light from said light source, a blurring optical system receiving light from said premod modulator, and a primary modulator receiving control signals from said controller and light from said blurring optical system, the method comprising: receiving input image data; computing a halftone image, wherein an upper bound halftone image and a lower bound halftone image are combined to form the halftone image; using the halftone image together with a light field model to compute a light field image, said light field model based on a Point Spread Function model of said blurring optical system; computing a primary image for said primary modulator; displaying a screen image from said primary modulator; capturing said screen image with an image capture device; registering the captured screen image with a premod pixel grid of the premod modulator; comparing said registered captured screen image with said input image data; if there are differences greater than a desired amount, then computing a correction to said PSF model to provide an improved PSF model; and applying the improved PSF model for further calibration, wherein said computing a correction to said PSF model further comprises: dividing the registered screen image by the primary image to produce an estimated light field image; comparing the estimated light field image to the light field image; estimating a light field error; and deconvolving the light field error estimate with the halftone image to calculate the PSF correction. receiving input image data; computing a halftone image, wherein an upper bound halftone image and a lower bound halftone image are combined to form the halftone image; using the halftone image together with a light field model to compute a light field image, said light field model based on a Point Spread Function model of said blurring optical system; computing a primary image for said primary modulator; displaying a screen image from said primary modulator; capturing said screen image with an image capture device; registering the captured screen image with a premod pixel grid of the premod modulator; comparing said registered captured screen image with said input image data; if there are differences greater than a desired amount, then computing a correction to said PSF model to provide an improved PSF model; and applying the improved PSF model for further calibration, wherein said computing a correction to said PSF model further comprises: dividing the registered screen image by the primary image to produce an estimated light field image; comparing the estimated light field image to the light field image; estimating a light field error; and deconvolving the light field error estimate with the halftone image to calculate the PSF correction. dividing the registered screen image by the primary image to produce an estimated light field image; comparing the estimated light field image to the light field image; estimating a light field error; and deconvolving the light field error estimate with the halftone image to calculate the PSF correction.