The necessity of a whiteness scale for FWA-enhanced whites

M. R. Luo; Minchen Wei; S. Ma

The necessity of a whiteness scale for FWA-enhanced whites

M. R. Luo, Minchen Wei, S. Ma

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

Two scales (i.e., Cho's whiteness scale and Berns' depth scale) were investigated to see whether they can accurately predict the whiteness of surface colors (e.g., textile and paper), both scales were found to be highly correlated to the NCS samples in past studies. The results indicated that the whiteness of samples without FWA-enhancement was highly correlated to both scales, but neither of them can predict the whiteness of FWA-enhanced white samples. These FWA-enhanced samples did not follow the concept that higher lightness and lower chroma produce whiter appearance. The study suggests the necessity to have a unique model to characterize the whiteness of FWA-enhanced whites, especially given the wide use of FWAs around human beings.

Original language	English
Title of host publication	CIC 2016 - 24th Color and Imaging Conference
Subtitle of host publication	Color Science and Engineering Systems, Technologies, and Applications, Final Program and Proceedings
Publisher	Society for Imaging Science and Technology
Pages	237-241
Number of pages	5
ISBN (Electronic)	9780892083244
Publication status	Published - 1 Jan 2016
Event	24th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2016 - Westgate Hotel, San Diego, United States Duration: 7 Nov 2016 → 11 Nov 2016

Conference

Conference	24th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2016
Country/Territory	United States
City	San Diego
Period	7/11/16 → 11/11/16

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics

Cite this

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title = "The necessity of a whiteness scale for FWA-enhanced whites",

abstract = "Two scales (i.e., Cho's whiteness scale and Berns' depth scale) were investigated to see whether they can accurately predict the whiteness of surface colors (e.g., textile and paper), both scales were found to be highly correlated to the NCS samples in past studies. The results indicated that the whiteness of samples without FWA-enhancement was highly correlated to both scales, but neither of them can predict the whiteness of FWA-enhanced white samples. These FWA-enhanced samples did not follow the concept that higher lightness and lower chroma produce whiter appearance. The study suggests the necessity to have a unique model to characterize the whiteness of FWA-enhanced whites, especially given the wide use of FWAs around human beings.",

author = "Luo, {M. R.} and Minchen Wei and S. Ma",

year = "2016",

month = jan,

day = "1",

language = "English",

pages = "237--241",

booktitle = "CIC 2016 - 24th Color and Imaging Conference",

publisher = "Society for Imaging Science and Technology",

address = "United States",

note = "24th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2016 ; Conference date: 07-11-2016 Through 11-11-2016",

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Luo, MR, Wei, M & Ma, S 2016, The necessity of a whiteness scale for FWA-enhanced whites. in CIC 2016 - 24th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, Final Program and Proceedings. Society for Imaging Science and Technology, pp. 237-241, 24th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2016, San Diego, United States, 7/11/16.

The necessity of a whiteness scale for FWA-enhanced whites. / Luo, M. R.; Wei, Minchen; Ma, S.
CIC 2016 - 24th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, Final Program and Proceedings. Society for Imaging Science and Technology, 2016. p. 237-241.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - The necessity of a whiteness scale for FWA-enhanced whites

AU - Luo, M. R.

AU - Wei, Minchen

AU - Ma, S.

PY - 2016/1/1

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N2 - Two scales (i.e., Cho's whiteness scale and Berns' depth scale) were investigated to see whether they can accurately predict the whiteness of surface colors (e.g., textile and paper), both scales were found to be highly correlated to the NCS samples in past studies. The results indicated that the whiteness of samples without FWA-enhancement was highly correlated to both scales, but neither of them can predict the whiteness of FWA-enhanced white samples. These FWA-enhanced samples did not follow the concept that higher lightness and lower chroma produce whiter appearance. The study suggests the necessity to have a unique model to characterize the whiteness of FWA-enhanced whites, especially given the wide use of FWAs around human beings.

AB - Two scales (i.e., Cho's whiteness scale and Berns' depth scale) were investigated to see whether they can accurately predict the whiteness of surface colors (e.g., textile and paper), both scales were found to be highly correlated to the NCS samples in past studies. The results indicated that the whiteness of samples without FWA-enhancement was highly correlated to both scales, but neither of them can predict the whiteness of FWA-enhanced white samples. These FWA-enhanced samples did not follow the concept that higher lightness and lower chroma produce whiter appearance. The study suggests the necessity to have a unique model to characterize the whiteness of FWA-enhanced whites, especially given the wide use of FWAs around human beings.

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M3 - Conference article published in proceeding or book

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BT - CIC 2016 - 24th Color and Imaging Conference

PB - Society for Imaging Science and Technology

T2 - 24th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2016

Y2 - 7 November 2016 through 11 November 2016

ER -

The necessity of a whiteness scale for FWA-enhanced whites

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Conference

ASJC Scopus subject areas

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