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《Acta Photonica Sinica》 2005-09
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Image Enhancement Based on Edge-directed Diffusion

Xie Meihua,Wang ZhengmingNational University of Defense Technology,Hunan Changsha 410073  
Since forward and backward diffusion cannot hold flow-like edges,and coherence enhancement diffusion cannot sharpen edges,a new edge-directed nonlinear diffusion equation to enhance image is put forward.The new model introduces forward and backward diffusion to the tensor diffusion,and gets a new diffusivity,which combines the merits of these two methods.The new model adapts an operator like coherence enhancement diffusion for edge orientation,and defines eigenvalues based on edge′s orientation such that the new tensor has positive diffusion coefficient in edge direction and negative diffusion coefficient in gradient direction.Both theory analysis and numerical results show that the new model has better enhancement result than coherence enhancing diffusion and forward and backward diffusion.
【Fund】: 全国优秀博士论文作者专项基金(批准号:200140);; 国家自然科学基金(批准号:60272013)资助
【CateGory Index】: TP391.41;
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【Secondary References】
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1 CUI Fa-yi, ZHENG De-zhong ( Measurement Technology and Instrumentation Key Lab of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, China );An algorithm for image weighted generalized fuzzy enhancement using wavelet packet transform[J];Journal of Yanshan University;2009-06
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