Abstract
Digital interferometry is a hybrid optical-digital two-exposure holographic technique in which the interferogram image intensity is recorded at each of several, known, discrete phase shifts. From these image data the sign and magnitude of the interferogram phase may be evaluated to a high degree of accuracy. This technique is especially useful in flow visualization because it allows visualization of very weak flows and aids in understanding very complex ones. In nonreal-time digital interferometry, two references are used. Reconstruction with both references creates a high contrast fringe pattern on the hologram surface. Although this may be minimized by imaging techniques, it severely degrades the interferogram in applications requiring the object to be close to the hologram. This noise causes periodic distortion of the computed phase, in some cases completely washing out the signal. However, applying image filtering algorithms to the image data can remove the noise from heavily degraded images and allow the signal to be faithfully reconstructed. We dis cuss image filtering methods and present several experimental examples including the use of this technique with pulsed laser interferometry.
© 1986 Optical Society of America
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