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一种基于模糊函数的自适应平滑约束图像复原算法
引用本文:刘鹏,张岩,毛志刚.一种基于模糊函数的自适应平滑约束图像复原算法[J].中国图象图形学报,2005,10(9):1178-1183.
作者姓名:刘鹏  张岩  毛志刚
作者单位:哈尔滨工业大学微电子中心 哈尔滨150001(刘鹏,毛志刚),哈尔滨工业大学深圳研究生院 深圳518055(张岩)
摘    要:为了在抑制噪声的同时保护图像的细节,提出了一种基于模糊函数的自适应平滑约束图像复原算法。该算法首先用模糊函数对图像局部区域内线元素的数量和方向进行评价,然后根据评价结果使用不同的高通滤波器构造平滑约束条件,同时使平滑约束条件随着图像复原的迭代过程不断更新,以便自适应地在图像平坦区域抑制噪声,而在存在物体边界的区域则保护细节信息。对比实验表明,此方法具有更高的收敛速度,更好的客观评价指标和主观视觉效果。

关 键 词:模糊  平滑约束  边缘检测和保护  图像复原
文章编号:1006-8961(2005)09-1178-06
收稿时间:2004-10-25
修稿时间:2005-03-14

An Adaptive Smoothness Constraint Image Restoration Algorithm Based on Fuzzy Functions
LIU Peng,LIU Peng and LIU Peng.An Adaptive Smoothness Constraint Image Restoration Algorithm Based on Fuzzy Functions[J].Journal of Image and Graphics,2005,10(9):1178-1183.
Authors:LIU Peng~  LIU Peng~ and LIU Peng~
Abstract:A new degraded image restoration algorithm which uses adaptive smoothness constraint based on fuzzy functions is used,is proposed.In order to suppress noise in image,simultaneously,preserve the details during image restoration,the algorithm uses the fuzzy functions to estimate the number and orientation of line elements in each image region,then these edge estimation results lead to Corresponding smoothness constraint.Furthermore,the smoothness constraint is updated along with image restoration iteration,such that the algorithm can suppress noise in flat regions and preserve details of existing edge.The experimental results show that it has faster convergence speed,better objective quality and subjective vision effect.
Keywords:fuzzy  smoothness constraint  edge-detecting and preserving  image restoration  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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