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KNOX, EASTON, AND JOHNSTON 11<br />

information can be extracted from <strong>the</strong> digital image of <strong>the</strong> photograph<br />

<strong>and</strong> enhanced to reveal characters in <strong>the</strong> degraded regions that could not<br />

be seen o<strong>the</strong>rwise.<br />

DISCOVERY OF NEW CHARACTERSINTHETEMPLE SCROLL<br />

In a digital image, color information is stored in <strong>the</strong> three “separations,”<br />

called red, green, <strong>and</strong> blue. The camera or input scanner “sees” <strong>the</strong>se separations<br />

by imaging through red, green, <strong>and</strong> blue filters, in a manner very<br />

similar to color-sensitive sensors in <strong>the</strong> human eye. The signals from <strong>the</strong><br />

three sensors in <strong>the</strong> eye are combined before being transmitted to <strong>the</strong><br />

brain, to produce three o<strong>the</strong>r signals: one proportional to <strong>the</strong> “brightness”<br />

of <strong>the</strong> scene <strong>and</strong> two proportional to <strong>the</strong> “color.” The color, or “chrominance,”<br />

is <strong>the</strong> difference of <strong>the</strong> red <strong>and</strong> green signals <strong>and</strong> of <strong>the</strong> blue <strong>and</strong><br />

a “yellow” signal (formed by summing <strong>the</strong> red <strong>and</strong> green signals).<br />

Color “spaces” are ma<strong>the</strong>matical constructs used to represent <strong>the</strong> colors<br />

in a manner similar to that used in <strong>the</strong> eye. One example is <strong>the</strong> Xerox<br />

“YES” color space. The Y-component contains <strong>the</strong> brightness information<br />

<strong>and</strong> is <strong>the</strong> analogue of a color video image viewed with a black-<strong>and</strong>white<br />

television set. The chrominance components E <strong>and</strong> S contain <strong>the</strong><br />

color information, in <strong>the</strong> form of red-minus-green <strong>and</strong> blue-minus-yellow<br />

components, respectively. The equations that compute <strong>the</strong> YES components<br />

from <strong>the</strong> original RGB (red, green, <strong>and</strong> blue) components are:<br />

Formula 1: Y = (0.253 � R) + (0.684 � G) + (0.063 � B)<br />

Formula 2: E = (0.500 � R) – (0.500 � G) + 0.000 � B)<br />

Formula 3: S = (0.250 � R) + (0.250 � G) – (0.500 � B)<br />

To extract <strong>the</strong> color information from <strong>the</strong>se photographs of <strong>the</strong> Temple<br />

Scroll, <strong>the</strong> Y, E, <strong>and</strong> S separations of <strong>the</strong> image were generated using <strong>the</strong><br />

three formulae from <strong>the</strong> R, G, <strong>and</strong> B outputs of <strong>the</strong> scanner. We found<br />

that <strong>the</strong> legibility of <strong>the</strong> text in <strong>the</strong> degraded sections of <strong>the</strong> scroll was<br />

much improved when viewed in <strong>the</strong> E separation.<br />

In figure 5, an enlarged section of column 17 is shown. On <strong>the</strong> left is<br />

<strong>the</strong> original scanned image. On <strong>the</strong> right is <strong>the</strong> E-channel separation,<br />

which represents <strong>the</strong> differences between red <strong>and</strong> green in <strong>the</strong> image.<br />

Some remarkable information has appeared in <strong>the</strong> processed image.<br />

Additional characters can be seen in <strong>the</strong> top four lines superimposed on<br />

<strong>the</strong> characters in <strong>the</strong> original. In <strong>the</strong> blank space below <strong>the</strong> fourth line, a<br />

new line of characters has appeared.

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