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Proceedings Paper

Digital halftoning using a blue-noise mask
Author(s): Theophano Mitsa; Kevin J. Parker
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Paper Abstract

We propose a new digital halftoning algorithm where the halftoning is achieved by a pixelwise comparison of the gray scale image against a nonimage array, the blue noise mask. The blue noise mask is constructed such that when thresholded at any level, the resulting binary pattern has the correct first order statistics, and also its power spectrum has blue noise (high frequency) characteristics which are visually pleasing. The construction of the blue noise mask is described and experimental results are shown. Also results from a phychovisual study are provided where subjects rated halftoned images that have the same first order but different second order statistics.

Paper Details

Date Published: 1 June 1991
PDF: 10 pages
Proc. SPIE 1452, Image Processing Algorithms and Techniques II, (1 June 1991); doi: 10.1117/12.45369
Show Author Affiliations
Theophano Mitsa, Univ. of Rochester (United States)
Kevin J. Parker, Univ. of Rochester (United States)

Published in SPIE Proceedings Vol. 1452:
Image Processing Algorithms and Techniques II
Mehmet Reha Civanlar; Sanjit K. Mitra; Robert J. Moorhead, Editor(s)

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