3 February 2014 Visual quality of printed surfaces: study of homogeneity
Author Affiliations +
Abstract
This paper introduces a homogeneity assessment method for the printed versions of uniform color images. This parameter has been specifically selected as one of the relevant attributes of printing quality. The method relies on image processing algorithms from a scanned image of the printed surface, especially the computation of gray level co-occurrence matrices and of objective homogeneity attribute inspired of Haralick's parameters. The viewing distance is also taken into account when computing the homogeneity index. Resizing and filtering of the scanned image are performed in order to keep the level of details visible by a standard human observer at short and long distances. The combination of the obtained homogeneity scores on both high and low resolution images provides a homogeneity index, which can be computed for any printed version of a uniform digital image. We tested the method on several hardcopies of a same image, and compared the scores to the empirical evaluations carried out by non-expert observers who were asked to sort the samples and to place them on a metric scale. Our experiments show a good matching between the sorting by the observers and the score computed by our algorithm.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
D. Nébouy, D. Nébouy, M. Hébert, M. Hébert, T. Fournel, T. Fournel, J.-L. Lesur, J.-L. Lesur, } "Visual quality of printed surfaces: study of homogeneity", Proc. SPIE 9016, Image Quality and System Performance XI, 90160C (3 February 2014); doi: 10.1117/12.2037605; https://doi.org/10.1117/12.2037605
PROCEEDINGS
10 PAGES


SHARE
RELATED CONTENT

A new method to evaluate the perceptual resolution
Proceedings of SPIE (February 08 2015)
On the visual quality enhancement of super-resolution images
Proceedings of SPIE (September 24 2011)
Perception-based line quality measurement
Proceedings of SPIE (January 17 2005)
Descreening method of scanned halftone image based on wavelet
Proceedings of SPIE (November 15 2007)

Back to Top