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Proceedings Paper

Rank-ordered error diffusion: method and applications
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Paper Abstract

We present a specialized form of error diffusion that addresses certain long-standing problems associated with operating on images possessing halftone structure as well as other images with local high contrast. For instance, when rendering an image to printable form via quantization reduction, image quality defects often result if that image is a scanned halftone. Rendering such an image via conventional error diffusion typically produces fragmented dots, which can appear grainy and be unstable in printed density. Rendering by simple thresholding or rehalftoning often produces moire, and descreening blurs the image. Another difficulty arises in printers that utilize a binary image path, where an image is rasterized directly to halftone form. In that form it is very difficult to perform basic image processing operations such as applying a digital tone reproduction curve. The image processing operator introduced in this paper, rank-order error diffusion (ROED), has been developed to address these problems. ROED utilizes brightness ranking of pixels within a diffusion mask to diffuse quantization error at a pixel. This approach to diffusion results in an imagestructure- adaptive quantization with many useful properties. The present paper describes the basic methodology of ROED as well as several applications.

Paper Details

Date Published: 29 January 2007
PDF: 12 pages
Proc. SPIE 6493, Color Imaging XII: Processing, Hardcopy, and Applications, 64931A (29 January 2007); doi: 10.1117/12.717541
Show Author Affiliations
Robert P. Loce, Xerox Corp. (United States)
Beilei Xu, Xerox Corp. (United States)

Published in SPIE Proceedings Vol. 6493:
Color Imaging XII: Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu, Editor(s)

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