Novel Evaluation of Digital Halftone Image Qualities by Psychological Analysis
DOI:
https://doi.org/10.14738/aivp.22.151Keywords:
Digital halftone, Visual impression, Semantic differential method, Factor analysis, Variance analysisAbstract
Monochrome binary halftone images express multiple levels with halftones produced by distributing black and white pixels. In this paper, for the subjective evaluation of halftone qualities, binary halftone images are considered as pointillistic images of visible black-and-white pixels. Visual impressions given by the pixel distribution are measured by the semantic differential (SD) method in a psychological manner.
An experiment for measuring subjective impressions of subjects by using selected 30 SD items was conducted on several binary halftone images that were produced by three kinds of the typical halftoning methods: two error-diffusion methods and a kind of random dither method. The sample data are analyzed statistically by factor analysis. As a result, two common factors are found out and interpreted as the sensitivity factor and the activity factor, respectively. Also, the result of variance analysis demonstrates that the two common factors are able to describe the difference among the three halftoning methods.
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