Abstract

Statistical processing of speckle data enables observation of the speed of processes. In intensity-based pointwise dynamic speckle analysis, a map related to speed’s spatial distribution is extracted from a sequence of speckle patterns formed on an object under coherent light. Monitoring of time evolution of a process needs storage, transfer, and processing of a large number of images. We have proposed lossy compression of these images using JPEG and JPEG2000 formats. We have compared the maps computed from noncompressed and decompressed synthetic and experimental images, and we have proven that both compression formats can be applied in the dynamic speckle analysis.

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Quantization of dynamic speckle patterns with spatially varying statistics

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Noise analysis in outdoor dynamic speckle measurement

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Appl. Opt. 62(10) D187-D195 (2023)

Dynamic speckle analysis with coarse quantization of the raw data

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Appl. Opt. 59(9) 2810-2819 (2020)

Performance of intensity-based non-normalized pointwise algorithms in dynamic speckle analysis

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Opt. Express 23(19) 25128-25142 (2015)

Illumination-tolerant face verification of low-bit-rate JPEG2000 wavelet images with advanced correlation filters for handheld devices

Surya Li Wijaya, Marios Savvides, and B. V. K. Vijaya Kumar
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