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Error Di usion and Edge Enhancement: Raster Versus Omni-Directional Processing
 

Summary: Error Di usion and Edge Enhancement:
Raster Versus Omni-Directional Processing
Jonathan S. Arney Peter G. Anderson Sunadi Ganawan
Rochester Institute of Technology
Rochester, NY
August 15, 2001
Abstract
Error di usion is a well known technique for gen-
erating bi-level images and is often used instead of
a halftone screen process in order to minimize the
visual impact of quantization error. In addition, an
alternative to raster image processing, involving a lin-
ear algorithm called linear pixel shu eling, was used
to perform error di usion. This allows the use of sym-
metrical kernels and the onmi-directional di usion of
quantization error. Edge enhancement with omni-
directional error di usion was examined and found
to be capable of more directionally uniform enhance-
ment of edges than is possible with raster error dif-
fusion.

  

Source: Anderson, Peter G. - Department of Computer Science, Rochester Institute of Technology

 

Collections: Computer Technologies and Information Sciences