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Proceedings Paper

Quantitative analysis of blue noise mask generation
Author(s): Meng Yao; Lan Gao; Kevin J. Parker
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Paper Abstract

The blue noise mask (BNM) is a stochastic screen that produces visually pleasing blue noise. In its construction, a filter is applied to a given dot pattern to identify clumps in order to add or remove dots and thereby generate a correlated binary pattern for the next level. But up to now, all the filters were selected on a qualitative basis. There is no reported work describing precisely how the filtering and selection of dots affects the perceived error of the binary pattern. In this paper, we give a strict mathematical analysis of the BNM construction based on a human visual model, which provides insights to the filtering process and also prescribes the locations of the dots that will result in a binary pattern of minimum perceived error when swapped. The analysis also resolves some unexplained issues noticed by other researchers.

Paper Details

Date Published: 27 February 1996
PDF: 4 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233304
Show Author Affiliations
Meng Yao, Univ. of Rochester (United States)
Lan Gao, Univ. of Rochester (United States)
Kevin J. Parker, Univ. of Rochester (United States)

Published in SPIE Proceedings Vol. 2727:
Visual Communications and Image Processing '96
Rashid Ansari; Mark J. T. Smith, Editor(s)

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