Feature preserving image sharpening using coupled bidirectional flow

Shujun Fu; Qiuqi Ruan; Wenqia Wang

doi:10.1117/12.633228

24 June 2005 Feature preserving image sharpening using coupled bidirectional flow

Shujun Fu, Qiuqi Ruan, Wenqia Wang

Proceedings Volume 5960, Visual Communications and Image Processing 2005; 596058 (2005) https://doi.org/10.1117/12.633228
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China

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.

Citation Download Citation

Shujun Fu, Qiuqi Ruan, and Wenqia Wang "Feature preserving image sharpening using coupled bidirectional flow", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 596058 (24 June 2005); https://doi.org/10.1117/12.633228

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KEYWORDS

Diffusion

Image enhancement

Image quality

Image filtering

Image processing

Visualization

Partial differential equations

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