Color matrix display simulation based on luminance and chromatic contrast sensitivity of early vision

Russel A. Martin; Albert J. Ahumada Jr.; James O. Larimer

doi:10.1117/12.135979

27 August 1992 Color matrix display simulation based on luminance and chromatic contrast sensitivity of early vision

Russel A. Martin, Albert J. Ahumada Jr., James O. Larimer

Proceedings Volume 1666, Human Vision, Visual Processing, and Digital Display III; (1992) https://doi.org/10.1117/12.135979
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States

Abstract

This paper describes the design and operation of a new simulation model for color matrix display development. It models the physical structure, the signal processing, and the visual perception of static displays, to allow optimization of display design parameters through image quality measures. The model is simple, implemented in the Mathematica computer language, and highly modular. Signal processing modules operate on the original image. The hardware modules describe backlights and filters, the pixel shape, and the tiling of the pixels over the display. Small regions of the displayed image can be visualized on a CRT. Visual perception modules assume static foveal images. The image is converted into cone catches and then into luminance, red-green, and blue-yellow images. A Haar transform pyramid separates the three images into spatial frequency and direction-specific channels. The channels are scaled by weights taken from human contrast sensitivity measurements of chromatic and luminance mechanisms at similar frequencies and orientations. Each channel provides a detectability measure. These measures allow the comparison of images displayed on prospective devices and, by that, the optimization of display designs.

Citation Download Citation

Russel A. Martin, Albert J. Ahumada Jr., and James O. Larimer "Color matrix display simulation based on luminance and chromatic contrast sensitivity of early vision", Proc. SPIE 1666, Human Vision, Visual Processing, and Digital Display III, (27 August 1992); https://doi.org/10.1117/12.135979

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