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Intensity fluctuation-invariant maximum likelihood estimation of speckle order
Optics Letters
|September 14, 2018
Summary
This study introduces a new speckle order estimation method that works despite changes in sample intensity. This robust technique accurately measures speckle order in real-world coherent images.
Area of Science:
- Optics and Photonics
- Image Processing
- Coherent Imaging
Background:
- Speckle imaging is crucial for various applications.
- Accurate speckle order estimation is vital for reliable analysis.
- Existing methods can be sensitive to intensity variations.
Purpose of the Study:
- To develop a speckle order estimation method invariant to mean intensity variations.
- To provide a robust and accurate method for real-world coherent images.
Main Methods:
- Acquisition of two statistically independent speckle images.
- Derivation of Cramer-Rao lower bound and maximum likelihood estimator for speckle noise.
- Validation using an optical experiment with a standard camera.
Main Results:
- The proposed method demonstrates performance close to classical estimators.
- The method is invariant to mean intensity fluctuations within the sample.
- It exhibits robustness against Poisson shot noise and additive noise.
Conclusions:
- The developed method offers reliable speckle order estimation.
- It is suitable for practical applications involving real-world coherent images.
- This technique enhances the utility of speckle imaging analysis.
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