Paper
11 October 2010 Some novel combining approaches to reduce speckle noises
Xu Yang, Zebin Fan, Jinbin Gui, Yuli Lou
Author Affiliations +
Abstract
In the optical test and measurement, speckle noise is a commonly noise which spoils the quality of the optical images, therefore, how to eliminate this kind of noise and keep the high frequency detail is an important subject, there have been presented many approaches such as adaptive median filtering in space domain, low pass filter in frequency domain and wavelet based approaches. Different filter has its own advantage and disadvantage, some filtering method is complicated and inconvenient for practice application. And the wavelet-based methods usually blurred the image. Therefore to find a simple and robust filtering method is valuable and important for speckle reduction. In this paper on the bases of theory analysis and simulation, an approach which combines the advantage of wavelet analysis, adaptive median filtering and Gauss filtering technique have been presented. The de-noising effect is evaluated with Signal to Noise Ratio (SNR), The simulation results demonstrate that the combining de-noise approaches are better than single method.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xu Yang, Zebin Fan, Jinbin Gui, and Yuli Lou "Some novel combining approaches to reduce speckle noises", Proc. SPIE 7656, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 76560Q (11 October 2010); https://doi.org/10.1117/12.866926
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KEYWORDS
Digital filtering

Image filtering

Speckle

Linear filtering

Optical filters

Signal to noise ratio

Gaussian filters

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