  Scanning acoustic microscopy (SAM) has been employed since microscopic images
are widely used for biomedical or materials research. Acoustic imaging is an
important and well-established method used in nondestructive testing (NDT),
bio-medical imaging, and structural health monitoring.The imaging is frequently
carried out with signals of low amplitude, which might result in leading that
are noisy and lacking in details of image information. In this work, we
attempted to analyze SAM images acquired from low amplitude signals and
employed a block matching filter over time domain signals to obtain a denoised
image. We have compared the images with conventional filters applied over time
domain signals, such as the gaussian filter, median filter, wiener filter, and
total variation filter. The noted outcomes are shown in this article.
