Paper
4 April 1997 Optimum error-diffusion kernel design
Author Affiliations +
Abstract
The quality of typical error diffused images can be improved by designing an error diffusion filter that minimizes a frequency weighted mean squared error between the continuous tone input and the halftone output. Previous approaches to this design are typically based on an assumption that the binary quantizer error is a white noise source. We propose in this paper an iterative method for designing an optimum error diffusion kernel without such an assumption on the spectral characteristics of the binary quantizer error.In particular, we use a set of training images, and iterate the two steps of designing the error diffusion filter and evaluating the spectrum of the quantizer error. Experimental results are shown for error diffusion filters designed using this iterative method.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ping Wah Wong and Jan P. Allebach "Optimum error-diffusion kernel design", Proc. SPIE 3018, Color Imaging: Device-Independent Color, Color Hard Copy, and Graphic Arts II, (4 April 1997); https://doi.org/10.1117/12.271597
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Cited by 16 scholarly publications and 1 patent.
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KEYWORDS
Diffusion

Halftones

Binary data

Digital filtering

Image filtering

Optical filters

Error analysis

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