Blue noise dither matrix design parameters and image quality of halftone prints

Appasaheb N. Madiwale; Kevin E. Spaulding

doi:10.1117/12.334595

22 December 1998 Blue noise dither matrix design parameters and image quality of halftone prints

Appasaheb N. Madiwale, Kevin E. Spaulding

Proceedings Volume 3648, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts IV; (1998) https://doi.org/10.1117/12.334595
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

Blue noise dither halftoning methods have been found to produce images with pleasing visual characteristics. Results similar to those generated by error-diffusion algorithms can be obtained using an image processing algorithm that is comparatively much simpler to implement. The blue noise dither matrix design method used in this study is based on minimization of a visual cost function. The visual cost function combines the frequency spectrum of the spatial modulation of the halftone pattern with the frequency response of the human visual system to define a visual cost metric. A sequential optimization approach using stochastic annealing is used. The design parameter associated with this method are viewing distance, print resolution, size of the dither matrix, and from of visual cost function. The effect of these design parameters on the resulting image quality of halftone prints is the topic of this paper. Blue noise dither matrices were designed using a variety of viewing distances for a 200 dpi printing system. Test images were generated and the prints were visually examined for texture artifacts. A preferred viewing distance parameters value of 10-20 inches was indicated. The effect of the dither matrix size and the form of the visual cost function will be reported sometime in future.

Citation Download Citation

Appasaheb N. Madiwale and Kevin E. Spaulding "Blue noise dither matrix design parameters and image quality of halftone prints", Proc. SPIE 3648, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts IV, (22 December 1998); https://doi.org/10.1117/12.334595

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KEYWORDS

Halftones

Visualization

Stochastic processes

Image quality

Annealing

Visual system

Matrices

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