首页> 外文会议>CSISE 2011;Conference on computer science, intelligent system and environment >Speckle Denoising for Digital Holographic Reconstructed Image Base on Image Edge Detection
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Speckle Denoising for Digital Holographic Reconstructed Image Base on Image Edge Detection

机译:基于图像边缘检测的数字全息重构图像斑点去噪

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摘要

The presence of speckle in digital holographic reconstructed image has seriously limited the application of digital holography in many fields, to further analysis and processing, analyzed the principle of edge detection and wavelet threshold denoising, a speckle reduction method is given. At first, get the edge image, and get adaptive thresholds, adopt a compromise threshold function to processing the edge image and non-edge image wavelet coefficients, and add the processed wavelet coefficients corresponding to the two images, then make inverse transform to get the denoised image. The result shows that the method can reduce the speckle noise and keep the edge of image well.
机译:数字全息重建图像中斑点的存在严重限制了数字全息在许多领域的应用,对其进行进一步的分析和处理,分析了边缘检测和小波阈值去噪的原理,提出了一种减少斑点的方法。首先,获取边缘图像,并获得自适应阈值,采用折衷阈值函数处理边缘图像和非边缘图像的小波系数,然后将两个图像对应的处理后的小波系数相加,然后进行逆变换得到去噪图像。结果表明,该方法可以减少斑点噪声,并保持图像边缘良好。

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