Paper
9 February 2006 Using optimal rendering to visually mask defective subpixels
Dean S. Messing, Louis J. Kerofsky
Author Affiliations +
Proceedings Volume 6057, Human Vision and Electronic Imaging XI; 60570O (2006) https://doi.org/10.1117/12.644321
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
Abstract
Visually Optimal Rendering is a subpixel-based method of rendering imagery on a colour matrix display that jointly maximises displayed resolution and minimises attendant colour aliasing. This paper first outlines the Constrained Optimisation framework we have developed for the design of Optimal Rendering Filters. This framework takes into account the subpixel geometry and colour primaries of the panel, and the luminance and chrominance Contrast Sensitivity Functions of the visual system. The resulting Optimal Rendering Filter Matrix can be designed for any regular 2D lattice of subpixels, including multi-primary lattices. The mathematical machinery of Visually Optimal Rendering is then applied to the problem of visually masking defective subpixels on the display. The rendering filters that result are able to reduce black subpixel defects for any primary colour to the point of near invisibility at normal viewing distances. These filters have the interesting property of being shift-varying. This property allows the Optimal Filter Array to intelligently modify the values surrounding a defect in a way that takes advantage of the visual system's differing sensitivities to luminance and chrominance detail in order to best mask a defect.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dean S. Messing and Louis J. Kerofsky "Using optimal rendering to visually mask defective subpixels", Proc. SPIE 6057, Human Vision and Electronic Imaging XI, 60570O (9 February 2006); https://doi.org/10.1117/12.644321
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CITATIONS
Cited by 8 scholarly publications and 3 patents.
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KEYWORDS
Visualization

Visual system

Optimal filtering

Electronic filtering

RGB color model

Convolution

LCDs

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