1 November 1997 Fast Fourier transform based image compression algorithm optimized for speckle interferometer measurements
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Optical Engineering, 36(11), (1997). doi:10.1117/1.601542
Abstract
In the framework of European Space Agency (ESA) FluidPac satellite mission, we have developed a fast, lossy image compression algorithm (ICA) based on a slight variation of the classical 2-D fast Fourier transform (FFT). In essence, given a monochrome picture, the ICA calculates (almost) 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 a 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 (ESPI) images. The ICA low-pass filter removes 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.
Jorge L. Vago, Herman C. Vermeulen, Antonio Verga, "Fast Fourier transform based image compression algorithm optimized for speckle interferometer measurements," Optical Engineering 36(11), (1 November 1997). https://doi.org/10.1117/1.601542
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KEYWORDS
Image compression

Independent component analysis

Fourier transforms

Image processing

Linear filtering

Fringe analysis

Interferometers

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