Speckle contrast dithering simulations

G. H. Sendra; Hector Jorge Rabal; Marcelo Trivi; Ricardo A. Arizaga

doi:10.1117/12.591754

21 October 2004 Speckle contrast dithering simulations

G. H. Sendra, Hector Jorge Rabal, Marcelo Trivi, Ricardo A. Arizaga

Proceedings Volume 5622, 5th Iberoamerican Meeting on Optics and 8th Latin American Meeting on Optics, Lasers, and Their Applications; (2004) https://doi.org/10.1117/12.591754
Event: 5th Iberoamerican Meeting on Optics and 8th Latin American Meeting on Optics, Lasers, and Their Applications, 2004, Porlamar, Venezuela

Abstract

Algorithms used to process a speckle image are limited by the resolution of the CCD camera and the employed digitalization system. We propose the use of dithering procedures to increase the intensity discrimination and improve the contrast resolution. This technique consists in decreasing the quantification error by performing several measurements to which a random value is added in each measurement before detection. Hence, it is possible to find a more approximated value to the real one. The precision increase results from the use of multiple images to which a determined white-light intensity has been added. This work shows the results of applying dithering to improve the precision of methods that use speckle contrast. It is a frequently used quantity in the implementation of activity images and in the determination of surface roughness. Numerically simulated images were used to verify the reliability of the technique whose intensities were later quantified for processing. The observed mean squared error is lower when this technique is employed, and the level of improvement depends on the size of the used windows. A device for the experimental verification of the results is in the design stage.

Citation Download Citation

G. H. Sendra, Hector Jorge Rabal, Marcelo Trivi, and Ricardo A. Arizaga "Speckle contrast dithering simulations", Proc. SPIE 5622, 5th Iberoamerican Meeting on Optics and 8th Latin American Meeting on Optics, Lasers, and Their Applications, (21 October 2004); https://doi.org/10.1117/12.591754

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KEYWORDS

Speckle

Image processing

Speckle pattern

Computer simulations

Image resolution

Quantization

CCD cameras

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