一种斑点图像增强滤波算法

Boyuan Yao, Ying Wu
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引用次数: 0

摘要

噪声抑制是散斑图中最令人兴奋的问题之一。分别对实验散斑相关条纹和圆锥散斑图像提出了一种图像增强滤波算法。该算法根据检测像素周围3 × 3区域像素与人眼视觉系统的均值计算检测像素的自适应自动阈值和梯度。结果表明,该方法能够显著改善散斑图像的质量模式,增强与散斑图像边缘的对比度,并保留了更多的圆锥体的详细信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Image Enhancement Filtering Algorithm for Speckle Patterns
Noise reduction is one of the most exciting problems in speckle pattern. We present an Image Enhancement Filtering Algorithm on experimental speckle correlation fringes and speckle image of cone respectively. In the algorithm, adaptively automatic threshold and gradient of the detecting pixel is calculated according to the mean value of the 3 × 3 area pixels around the detecting pixel and the human vision system. The results show that this technique is capable of significantly improving the quality patterns and enhancing the contrast with the edge of the speckle image, as well as preserving more detailed information of the cone.
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