散焦图像边缘振铃抑制算法
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TN919.8

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Algorithm on border ringing reduction of defocus image
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    摘要:

    针对编码孔径成像在图像复原过程中产生的振铃效应,提出了一种改进梯度平滑边界算法。首先对模糊图像进行均值滤波,计算出梯度平滑图像;然后对该图像进行反射插值延拓,延拓的图像经最优窗处理得到预处理图像;最后经改进维纳滤波算法恢复出原图像。实验表明,改进算法能有效抑制振铃同时保留图像细节信息,与梯度平滑边界算法相比复原图像的结构相似度提高了27%,图像质量指数提高了19%。

    Abstract:

    This paper proposed an improved gradient smoothing boundary algorithm for the ringing effect generated by coded aperture imaging in image restoration. As the first step, the blurred image is filtered by means, and the gradient smoothing image is calculated. Then the image is extended by reflection interpolation, and the preprocessed image is obtained by the optimal window processing. Finally, the original image is restored by the improved Wiener filter algorithm. Experimental results suggest that the improved algorithm can effectively suppress the ringing and retain the details of the image. Compared with the gradient smoothing boundary algorithm, the structural similarity of image restoration is improved by 27% and the image quality index is increased by 19%.

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梁英,于洵,陶禹,龚昌妹,姜旭.散焦图像边缘振铃抑制算法[J].电子测量技术,2019,42(4):84-89

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  • 在线发布日期: 2021-07-26
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