NDLI: Some methods for practical halftoning on the CNN universal machine

Content Provider	IEEE Xplore Digital Library
Author	Crounse, K.R. Roska, T. Chua, L.O.
Copyright Year	1998
Description	Author affiliation: Lab. of Nonlinear Electron., California Univ., Berkeley, CA, USA (Crounse, K.R.)
Abstract	This paper explores two issues which are relevant in practical halftoning situations on the CNN universal machine: block processing of large images with small CNN arrays, and the use of no larger than 3/spl times/3 templates. It is shown that block processing can be performed without noticeable boundary artifacts by careful selection of boundary cell values. In this example, a standard 3/spl times/3 halftoning template is used; higher quality halftones can be obtained only by using larger templates. A CNNUM algorithm is introduced which uses only a 3/spl times/3 template but emulates a much larger effective template through an iterative procedure. The method is to discretize the CNN transient in time and then implement the spatial correlations at each time step with a CNN transient. An A-B-template pair was designed for a single CNN transient to approximate a very simple linear filter model of the human visual system. The resulting discrete-time system was analyzed. The iterative procedure is demonstrated to produce a visually pleasing halftone.
Starting Page	337
Ending Page	342
File Size	656202
Page Count	6
File Format	PDF
ISBN	0780348672
DOI	10.1109/CNNA.1998.685397
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-04-14
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cellular neural networks Turing machines Laboratories Iterative algorithms Humans Visual system Image processing Gray-scale Automation Nonlinear filters
Content Type	Text
Resource Type	Article

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