Image restoration based on Laplacian preprocessed long-range correlation

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• 作者：Javad Ahmadi-Shokouh and Hengameh Keshavarz
• 关键词：Impulse noise removal ; Decision making filtering ; Laplacian kernels ; Long ; range correlation ; Normalized intensity difference ; Difference mean recovering
• 刊名：Multidimensional Systems and Signal Processing
• 出版年：2008
• 出版时间：June, 2008
• 年：2008
• 卷：19
• 期：2
• 页码：231-245
• 全文大小：841.8 KB

文摘

A decision-based adaptive filter is proposed to remove impulse-noise: (1) A modified Laplacian operator accurately locates impulse-noise corrupted pixels. (2) Another image-region highly correlated with the to-be-restored image-region is identified through “Long-Range Correlation” with statistically designed search-ranges and match-criterion. (3) The center of the to-be-restored image-region is replaced using a proposed recovering approach. Simulation results demonstrate the proposed method’s superior impulse-noise removal capability vis-a-vis other recent approaches.