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Study On Color Space Conversion Method Of Color Printer

Posted on:2005-10-03Degree:MasterType:Thesis
Country:ChinaCandidate:J H FuFull Text:PDF
GTID:2168360122971926Subject:Optics
Abstract/Summary:PDF Full Text Request
With the development of computer, media, internet, the need for accurate and transparent exchange of color content has become critical. Many types of electronic color imaging device color scanner, monitor, printer, all of these devices utilize device-dependent color spaces Therefore, CIE(Commision International del'Eclairage) developed device-independent color spaces to grantee the production of color consistency between various devices. That is, the concept of device-independent color reproduction, has received widespread attention.In order to realize the color space transformation between Device-independent and device-independent, several methods have been proposed for color space transformation. These conclude analytical model method using -Neugebauer equation, the polynomial regression model, look-up tab.le and neural network methods.This article presents study on color space transformation of Color Printer. It presents two methods: polynomial regression and BP neural networks, polynomial regression based on optimization analyzed about the experiment sample number, the polynomial exponent, the selection of test sample and so on., Avoiding the complexity of ink-jet color printer' s CMYK subtractive color space. This regression method establishes a colorimetric prediction model from input color space transformation. By using the color difference evaluation method recommended by CIE and comparing different exponent experimental result, it is confirmed that the fourth order polynomial had a better prediction effect BP neural networks mainly studied effect on precision training function, transfer function, hidden numbers, hidden neurons and so on . Drew a conclusion three layers BP networks to realized color space transformation of color printers effectively. Finally compared the two methods. There are advantage and disadvantage between polynomial regression and BP neural networks, they are both applied in color space transformation of color printers effectively.It is available for Computer Company soft to develop. This theory will be applied to the fields of Computer Company, medication, the correction in color remote sensing image, andxother color system. It is...
Keywords/Search Tags:Color space transformation, neural network, Polynomial regression, Color management
PDF Full Text Request
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