Paper
8 September 1993 Halftone image quality analysis based on a human vision model
Author Affiliations +
Proceedings Volume 1913, Human Vision, Visual Processing, and Digital Display IV; (1993) https://doi.org/10.1117/12.152712
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States
Abstract
The perceived quality of a printed image depends on the halftone algorithm and the printing process. This paper proposes a new method of analyzing halftone image quality in the frequency domain based on a human vision model. First, the Fourier transform characteristics of a dithered image are reviewed. Several commonly used dither algorithms, including clustered-dot dither and dispersed-dot dither, are evaluated based on their Fourier transform characteristics. Next, images halftoned with the dither algorithms and the Floyd-Steinberg error diffusion algorithm are compared in the frequency domain. Factors affecting printed image quality in a printing process are also discussed. Finally, a perception-based halftone image distortion measure is proposed. This measure reflects the quality of a halftone image printed on an ideal bi-level device and viewed at a particular distance. The halftone algorithms are ranked according to the proposed distortion measure. The effects of using human visual models with different peak sensitivity frequencies are examined.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qian Lin "Halftone image quality analysis based on a human vision model", Proc. SPIE 1913, Human Vision, Visual Processing, and Digital Display IV, (8 September 1993); https://doi.org/10.1117/12.152712
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Cited by 21 scholarly publications.
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KEYWORDS
Halftones

Fourier transforms

Image quality

Printing

Distortion

Diffusion

Image processing

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