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Usability of Digital Cameras for Verifying Physically Based ...

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specifications <strong>of</strong> these <strong>for</strong>mats are usually not publicly available. However, some<br />

RAW converters, e.g. dcraw [raw06a], also provide raw CCD data as output.<br />

The errors that are introduced by the camera s<strong>of</strong>tware can be avoided by us-<br />

ing the raw CCD data. Un<strong>for</strong>tunately, this data cannot be compared to a rendered<br />

RGB image directly. It just contains in<strong>for</strong>mation about how much light passed<br />

the filter but there is no in<strong>for</strong>mation about how this relates to an XYZ or sRGB<br />

value. The reason <strong>for</strong> this is that most digital camera spectral sensitivities are<br />

not linear trans<strong>for</strong>mations <strong>of</strong> average human visual systems’s spectral sensitivit-<br />

ies. There<strong>for</strong>e, the camera and a standardized human observer do not “see” color<br />

identically. Thus, a camera may generate two different sets <strong>of</strong> RGB values at two<br />

color samples, while to a human observer they look the same. This is the most<br />

severe problem we have to deal with when using a prosumer-grade digital camera<br />

<strong>for</strong> color measurements. Because <strong>of</strong> the different spectral sensitivities it is not<br />

possible to get an exact match between colors seen by a camera and a human ob-<br />

server. This thesis will discuss how a prosumer-grade camera can nevertheless be<br />

used <strong>for</strong> verification purposes.<br />

42

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