Morphological and wavelet filtering for shear-beam image restoration

Mark Wilson, Sunanda Mitra, Thomas Krile

Research output: Contribution to journalConference articlepeer-review


Shear beam imaging is a coherent reflective imaging technique which inherently contains signal dependent speckle noise, and removal of the speckle using a minimal number of frames is the major concern of this paper. In the past, several methods have been used to eliminate this noise. The complexity of the algorithms ranged from a simple nonlinear median filter to complex linear and nonlinear models. Here, fast morphological and wavelet filters are proposed and are shown to remove speckle better than the previous methods. The morphological filters are non-linear in nature and computationally efficient, thus making them quite attractive. This paper describes the morphological and wavelet techniques used and demonstrates the superior performance of these filters as compared to the previously used ones.

Original languageEnglish
Pages (from-to)98-105
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 1999
EventProceedings of the 1999 Digital Iamge Recovery and Synthesis IV - Denver, CO, USA
Duration: Jul 20 1999Jul 21 1999


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