FFT-based image compression algorithm optimized for speckle interferometer measurements

Jorge L. Vago; Herman C. Vermeulen; Antonio Verga

doi:10.1117/12.279740

21 November 1997 FFT-based image compression algorithm optimized for speckle interferometer measurements

Jorge L. Vago, Herman C. Vermeulen, Antonio Verga

Proceedings Volume 3172, Optical Technology in Fluid, Thermal, and Combustion Flow III; (1997) https://doi.org/10.1117/12.279740
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

In the framework of ESA's FluidPac satellite mission, we have developed a fast, lossy image compression algorithm (ICA) based on a slight variation of the classical 2D FFT. In essence, given a monochrome picture, the ICA calculates its Fourier spectrum. It then applies a low-pass filter to eliminate all Fourier coefficients beyond a certain user- defined cutoff frequency. Finally, it further compresses by encoding the surviving FFT coefficients in more memory- efficient manner. The proposed scheme works best with pictures where the high-frequency data are of little value. This is precisely the case with electronic speckle pattern interferometer images. The ICA's low-pass filter gets rid of the speckle noise while preserving the useful scientific information: the interference fringe pattern. We have, however, also applied the FluidPac ICA to pictures generated by classical interferometers, photographic equipment, particle tracing instruments, and IR cameras. The results are extremely encouraging.

Citation Download Citation

Jorge L. Vago, Herman C. Vermeulen, and Antonio Verga "FFT-based image compression algorithm optimized for speckle interferometer measurements", Proc. SPIE 3172, Optical Technology in Fluid, Thermal, and Combustion Flow III, (21 November 1997); https://doi.org/10.1117/12.279740

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KEYWORDS

Image compression

Independent component analysis

Linear filtering

Fringe analysis

Interferometers

Image processing

Speckle

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