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Measuring and Enhancing the Legibility of GPU-rendered Text
Author(s) -
Christoph von Tycowicz,
Joern Loviscach
Publication year - 2008
Publication title -
eurographics
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2312/egs.20081018
Subject(s) - legibility , computer science , subpixel rendering , rendering (computer graphics) , computer graphics (images) , artificial intelligence , computer vision , preprocessor , rgb color model , pixel , visual arts , art
The limited spatial resolution of standard computer displays impedes the legibility of text. To improve the rendering, we have developed a number of strategies that employ GPU-based shader programs and appropriate preprocessing steps. We devised and implemented a set of methods that may be used alone or in combination ranging from simple measures such as gamma-correct MIPmapping to complex ones such as RGB subpixel rendering combined with supersampling. We have researched into their performance in terms of both legibility and speed. We difinded a psychovisual test that quantifies legibility quickly enough to compare a selection of promising techniques. The results allow to choose the optimum blend of rendering methods for a given set of requirements.

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