J4 ›› 2007, Vol. 29 ›› Issue (3): 39-40.
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周维华[1,2]
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摘要：
图像在获取、传输和存储过程中由于受多种原因如模糊、失真、噪声等的影响,会造成图像质量的下降。本文首先探讨了图像退化的原因,建立图像复原的模型;然后设计采用W iener滤波算法对图像进行复原;最后对经典的Lenna图像进行图像实验,并分析了实验的结果。
关键词: 图像复原 Wiener滤波算子 图像复原模型
Abstract:
Images are often deteriorated by many factors such as blurring and noising during the process of recoding,transmission and storing.In the paper,firstly a discussion is given based on the reasons which affect the image quality,an image deblurring model is set up,and then the Wiener filter algorithm is taken to deblur images.Finally,an image delurring test is made on the Lenna image and the experimental results are analysed.
Key words: image deblurring;Wiener filter;image deblur model
周维华[1,2]. Wiener滤波图像复原[J]. J4, 2007, 29(3): 39-40.
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链接本文: http://joces.nudt.edu.cn/CN/
http://joces.nudt.edu.cn/CN/Y2007/V29/I3/39
