Paper
29 January 2007 Differential gloss quality scale experiment update: an appearance-based image quality standard initiative (INCITS W1.1)
Yee S. Ng, Chunghui Kuo, Eric Maggard, Dale Mashtare, Peter Morris, Susan Farnand
Author Affiliations +
Proceedings Volume 6494, Image Quality and System Performance IV; 64940I (2007) https://doi.org/10.1117/12.699139
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
Surface characteristics of a printed sample command a parallel group of visual attributes determining perceived image quality beyond color, and they manifest themselves through various perceived gloss features such as differential gloss, gloss granularity, gloss mottle, etc. Extending from the scope of ISO19799 with limited range of gloss level and printing technologies, the objective of this study is to derive an appearance-based differential gloss quality scale ranging from very low gloss level to very high gloss level composed by various printing technology/substrate combinations. Three psychophysical experiment procedures were proposed including the quality ruler method, pair comparison, and interval scaling with two anchor stimuli, where the pair comparison process was subsequently dropped because of the concern of experiment complexity and data consistency after preliminary trial study. In this paper, we will compare the obtained average quality scale after mapping to the sharpness quality ruler with the average perceived differential gloss via the interval scale. Our numerical analysis indicates a general inverse relationship between the perceived image quality and the gloss variation on an image.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yee S. Ng, Chunghui Kuo, Eric Maggard, Dale Mashtare, Peter Morris, and Susan Farnand "Differential gloss quality scale experiment update: an appearance-based image quality standard initiative (INCITS W1.1)", Proc. SPIE 6494, Image Quality and System Performance IV, 64940I (29 January 2007); https://doi.org/10.1117/12.699139
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KEYWORDS
Image quality

Printing

Image quality standards

Image processing

Visualization

Standards development

Analytical research

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