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| 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 | |
| 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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