Abstract
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.
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© 2011 Springer-Verlag Berlin Heidelberg
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Jia, Q., Li, Z., Liu, X. (2011). Speckle Denoising for Digital Holographic Reconstructed Image Base on Image Edge Detection. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23756-0_49
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DOI: https://doi.org/10.1007/978-3-642-23756-0_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23755-3
Online ISBN: 978-3-642-23756-0
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