Some methods for practical halftoning on the CNN universal machine. Crounse, K., Roska, T., & Chua, L. In Cellular Neural Networks and Their Applications Proceedings, 1998 Fifth IEEE International Workshop on, pages 337 -342, 4, 1998.
doi  abstract   bibtex   
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 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 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 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
@inproceedings{685397,
	Author = {Crounse, K.R. and Roska, T. and Chua, L.O.},
	Booktitle = {Cellular Neural Networks and Their Applications Proceedings, 1998 Fifth IEEE International Workshop on},
	Date-Added = {2012-08-20 14:16:54 +0000},
	Date-Modified = {2012-08-20 17:22:52 +0000},
	Doi = {10.1109/CNNA.1998.685397},
	Keywords = {CNN universal machine;CNNUM algorithm;boundary cell values;cellular neural network;discrete-time system;halftoning;human visual system;image block processing;iterative method;linear filter model;spatial correlations;templates;cellular neural nets;discrete time systems;image processing;iterative methods;optical correlation;parallel algorithms;},
	Month = {4},
	Pages = {337 -342},
	Title = {Some methods for practical halftoning on the CNN universal machine},
	Year = {1998},
	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 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 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 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},
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