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Proceedings Paper

Feature preserving image sharpening using coupled bidirectional flow
Author(s): Shujun Fu; Qiuqi Ruan; Wenqia Wang
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Paper Abstract

In the past decade there has been a growing amount of research concerning partial differential equations in image sharpening. Most of these models indicate edges by a binary zero-crossing decision, however, which will produce a false result with piecewise constant regions, whose textures and fine part are lost. In this paper, we propose a feature preserving coupled bidirectional flow process, where an inverse diffusion is performed to sharpen edges along the normal directions to the isophote lines (edges), while a normal diffusion is done to remove noise and artifacts ("jaggies") along the tangent directions on the contrary. To preserve image features, the nonlinear diffusion coefficients are locally adjusted according to the directional derivatives of the image. Experimental results demonstrate that our algorithm substantially improves the subjective quality of the enhanced images.

Paper Details

Date Published: 24 June 2005
PDF: 6 pages
Proc. SPIE 5960, Visual Communications and Image Processing 2005, 596058 (24 June 2005); doi: 10.1117/12.633228
Show Author Affiliations
Shujun Fu, Beijing Jiaotong Univ. (China)
Shandong Univ. (China)
Qiuqi Ruan, Beijing Jiaotong Univ. (China)
Wenqia Wang, Shandong Univ. (China)


Published in SPIE Proceedings Vol. 5960:
Visual Communications and Image Processing 2005
Shipeng Li; Fernando Pereira; Heung-Yeung Shum; Andrew G. Tescher, Editor(s)

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