A minimal Munsell value error based laser printer model

Liu, J; Su, H; Hu, W; Zhang, L; Tao, D

A minimal Munsell value error based laser printer model

Liu, J Su, H Hu, W Zhang, L Tao, D

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Publication Type:: Journal Article
Citation:: Neurocomputing, 2016, 204 pp. 231 - 239
Issue Date:: 2016-09-05

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Field	Value	Language
dc.contributor.author	Liu, J	en_US
dc.contributor.author	Su, H	en_US
dc.contributor.author	Hu, W	en_US
dc.contributor.author	Zhang, L	en_US
dc.contributor.author	Tao, D https://orcid.org/0000-0001-7225-5449	en_US
dc.date.issued	2016-09-05	en_US
dc.identifier.citation	Neurocomputing, 2016, 204 pp. 231 - 239	en_US
dc.identifier.issn	0925-2312	en_US
dc.identifier.uri	http://hdl.handle.net/10453/122720
dc.description.abstract	© 2016 Elsevier B.V. The image printed by laser printer may be nonlinearly distorted by dot gain and dot loss. In this case, printer model is usually built to suppress this nonlinear distortion and to make sure the printout result is the same as input image. The parameters of the printer model which will directly affect the printout result are key. In this paper, the chroma or density values of printout result is changed into Munsell value, and optimal parameters of printer model are calculated via the calculation of minimal error between Munsell value and input gray value. And then the minimal-Munsell-value-error-based laser printer model (MMVEBLPM) is established and applied in the green noise halftone method. Experimental results showed that the optimal parameters can be calculated fast and the nonlinear distortion of laser printer is suppressed significantly with the proposed model.	en_US
dc.relation.ispartof	Neurocomputing	en_US
dc.relation.isbasedon	10.1016/j.neucom.2015.12.119	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	A minimal Munsell value error based laser printer model	en_US
dc.type	Journal Article
utslib.citation.volume	204	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
utslib.for	17 Psychology and Cognitive Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	204	en_US

Abstract:

© 2016 Elsevier B.V. The image printed by laser printer may be nonlinearly distorted by dot gain and dot loss. In this case, printer model is usually built to suppress this nonlinear distortion and to make sure the printout result is the same as input image. The parameters of the printer model which will directly affect the printout result are key. In this paper, the chroma or density values of printout result is changed into Munsell value, and optimal parameters of printer model are calculated via the calculation of minimal error between Munsell value and input gray value. And then the minimal-Munsell-value-error-based laser printer model (MMVEBLPM) is established and applied in the green noise halftone method. Experimental results showed that the optimal parameters can be calculated fast and the nonlinear distortion of laser printer is suppressed significantly with the proposed model.

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http://hdl.handle.net/10453/122720