494 |
Text filtering |
Text filtering |
495 |
'''''''''''''' |
'''''''''''''' |
496 |
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JVK |
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|
497 |
Most user interfaces only use pre-rendered character |
Most user interfaces only use pre-rendered character |
498 |
bitmaps of the font, which forces text to be |
bitmaps of the font, which forces text to be |
499 |
drawn on straight horizontal lines with constant size |
drawn on straight horizontal lines with constant size |
514 |
possible to run small *fragment programs* for each rendered pixel. |
possible to run small *fragment programs* for each rendered pixel. |
515 |
This flexibility allows us to overcome the restrictions in the |
This flexibility allows us to overcome the restrictions in the |
516 |
texture filtering. |
texture filtering. |
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517 |
However, designing such filters in an *ad hoc* fashion is |
However, designing such filters in an *ad hoc* fashion is |
518 |
extremely cumbersome and error-prone. What is needed is a suitable |
extremely cumbersome and error-prone; a more |
519 |
mathematical framework for modeling the |
formal approach for evaluating the results of |
520 |
*perceptual* qualities of rendered text. |
different filtering methods is needed. |
521 |
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522 |
The goals in this area are the development of the mathematical framework |
The goals in this area are the development of a mathematical framework |
523 |
for qualitatively |
for modeling the *perceptual* qualities of rendered text |
524 |
XXX |
as well as experimental evaluation of the models. |
525 |
As one theoretical approach for modeling the readability |
|
526 |
we can use the correlation function of the rendered text. |
As one theoretical approach for the readability modeling |
527 |
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we plan to use the correlation function of the rendered text. |
528 |
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There have not been much research on this approach in |
529 |
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graphics context. |
530 |
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However, we hope to be able to apply our earlier experience |
531 |
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on Bayesian methods and similar models. |
532 |
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533 |
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534 |
Unique background textures |
Unique background textures |