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Optical Engineering

Detail-enhanced error diffusion
Author(s): Stefan Thurnhofer; Sanjit K. Mitra
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Paper Abstract

We propose a modification of the standard error-diffusion technique for image halftoning that enhances edges and textures by reducing the diffusion of the quantization error across edges. It employs a quadratic Volterra filter that extracts features from the original grayscale image and adapts the feedback loop to the local characteristics of the image. The additional computational complexity is small because the filter only uses a 3 X 3 region of support. Experimental comparisons of various techniques show that our modified error diffusion algorithm produces sharper results with improved contrast and detail resolution for both gray-scale and color images.

Paper Details

Date Published: 1 September 1996
PDF: 7 pages
Opt. Eng. 35(9) doi: 10.1117/1.600861
Published in: Optical Engineering Volume 35, Issue 9
Show Author Affiliations
Stefan Thurnhofer, AT&T Bell Labs. (United States)
Sanjit K. Mitra, Univ. of California/Santa Barbara (United States)


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