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Abstract
The ultrasonic synthetic aperture imaging technique has been used for non-destructive testing since it gives very good lateral resolution in all regions of interest. However, when this technique is used on coarse-grained materials, the images show a significant amount of speckle. The performance of two techniques for speckle reduction in synthetic aperture images is evaluated: the split spectrum processing technique with polarity thresholding algorithm and the interlaced array technique. Experimental results show significant speckle reduction in these images after the application of these techniques. The signal-to-noise ratios of the processed and unprocessed images have been calculated to quantitatively measure the reduction of speckle.
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