dc.contributor.advisor | Names Illegible | |
dc.contributor.author | Viggiano, John | |
dc.date.accessioned | 2009-07-27T15:37:33Z | |
dc.date.available | 2009-07-27T15:37:33Z | |
dc.date.issued | 1987-05 | |
dc.identifier.uri | http://hdl.handle.net/1850/10304 | |
dc.description | The thesis document has not been uploaded by request of the author. Please visit or contact the RIT Archives to view it. | |
dc.description.abstract | A general method which permits the prediction of color in graphic reproduction is disclosed. This method involves generalizing models used to
predict density in black and white printing. The models used in black
and white are applied on a point-by-point basis throughout the spectrum
to provide the prediction under the new method. The precision of the new
method is compared to the precision of the existing method.
To evaluate the new method, two models used in black and white printing
are generalized to permit the prediction of color. These models are for
predicting color in monochrome printing for both continuous tone and
halftone processes. A third model, which is specifically for the prediction of color, was recast using the new method, so that its accuracy
could be improved.
The two black and white models, when generalized, were found to offer
adequate precision. Typically, a color error on the order of a just noticeable
difference (for human observers) was noted for these two
models. The third model did not offer sufficient precision. The color
errors for the predictions of the multicolor model tended to be
approximately five times this amount. The question of halftone dot
overlap is also answered experimentally. The model used in the prior
literature was found to offer a high degree of precision.
In addition to being evaluated for absolute precision, the models were
evaluated for their precision relative to their analogs contained in the
prior art. A relative reduction of 25 percent color error was realized
when the new approach was used. | en_US |
dc.language.iso | en_US | en_US |
dc.title | Models for the prediction of color in graphic reproduction technology | en_US |
dc.type | Thesis | en_US |
dc.description.college | College of Graphic Arts and Photography | en_US |
dc.description.department | School of Printing and Management Sciences | en_US |
dc.contributor.advisorChair | Southworth, Miles | |
dc.description.school | Rochester Institute of Technology | en_US |