Region-based shock-diffusion equation for adaptive image enhancement

Authors:
Shujun Fu;Qiuqi Ruan;Wenqia Wang;Jingnian Chen
Affiliations:
School of Mathematics and System Sciences, Shandong University, Jinan, China;Institute of Information Science, Beijing Jiaotong University, Beijing, China;School of Mathematics and System Sciences, Shandong University, Jinan, China;School of Arts and Science, Shandong University of Finance, Jinan, China
Venue:
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
Year:
2006

Citing 7
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Abstract

In this paper, a region-based shock-diffusion equation is presented for image denoising and edge sharpening. An image is divided into three-type different regions according to image features: edges, textures and details, and flat areas. For edges, a shock-type backward diffusion is performed in the gradient direction to the isophote line (edge), incorporating a forward diffusion in the isophote line direction; while for textures and details, a soft backward diffusion is done to enhance image features preserving a natural transition. Moreover, an isotropic diffusion is used to smooth flat areas simultaneously. Finally, a shock capturing scheme with a special limiter function is developed to speed the process with numerical stability. Experiments on real images show that this method produces better visual results of the enhanced images than some related equations.