Visual calibration of CRT monitors

Abstract In this paper, we develop and test a technique for calibrating a computer-controlled television monitor using a visual comparison instead of a photometer. The basic principle of the calibration is to compare a patch of pixels that are uniformly driven for an adjustable voltage with a patch in which a predetermined fraction of the pixels are set to the maximum voltage and the remainder are set to the minimum. By adjusting the voltage to make the two patches appear equally bright we get an estimate of the voltage that produces the predetermined fraction of the maximum luminance. Smooth functions were fit to the relationship between the DAC output and the fraction of illuminated pixels using a least-squares method, and used to estimate the function relating screen luminance to voltage. This function was then used to calculate lookup tables for linearisation. Sinusoidal and beat (sum of two sinusoids) luminance modulations were generated from the calibrated lookup tables and their profiles were measured with a photometer in order to check the calibrations. We find that visual calibration is sufficiently reliable to be used as an alternative to calibration using a photometer. It is easier and cheaper than using a photometer: a good photometer can be more expensive than the combined cost of the computer, graphics card and monitor.

[1]  D. Broadbent,et al.  Some experiments bearing on the hypothesis that the visual system analyses spatial patterns in independent bands of spatial frequency , 1975, Vision Research.

[2]  David Williams,et al.  A visual nonlinearity fed by single cones , 1992, Vision Research.

[3]  Sheng He,et al.  Visible flicker from invisible patterns , 1993, Nature.

[4]  David R. Badcock,et al.  Analysis of the motion of 2-dimensional patterns: Evidence for a second-order process , 1992, Vision Research.

[5]  Andrew M. Derrington,et al.  Linear and non-linear mechanisms in pattern vision , 1993, Current Biology.

[6]  K. Naka,et al.  S‐potentials from colour units in the retina of fish (Cyprinidae) , 1966, The Journal of physiology.

[7]  J. Nachmias,et al.  Masking by spatially-modulated gratings , 1983, Vision Research.

[8]  G. Brindley Physiology of the Retina and the Visual Pathway , 1960 .

[9]  Leland S. Stone,et al.  Halftoning method for the generation of motion stimuli , 1989 .

[10]  Neil A. Weiss,et al.  Introductory Statistics , 1982 .

[11]  G. J. Burton,et al.  Evidence for non-linear response processes in the human visual system from measurements on the thresholds of spatial beat frequencies. , 1973, Vision research.

[12]  J. Robson Spatial and Temporal Contrast-Sensitivity Functions of the Visual System , 1966 .

[13]  Denis G. Pelli,et al.  Accurate control of contrast on microcomputer displays , 1991, Vision Research.

[14]  Lynn A. Olzak,et al.  Parametric methods for gamma and inverse gamma correction, with extensions to halftoning , 1990 .

[15]  D. Macleod,et al.  Contrast-modulation flicker: Dynamics and spatial resolution of the light adaptation process , 1998, Vision Research.