Ultrasound Speckle Reduction in the Complex Wavelet Domain
Ultrasound is a non-invasive, portable, and low cost imaging modality that offers real-time image formation and has many applications in medicine. Unfortunately, ultrasound images are inherently degraded by a multiplicative noise called speckle that makes further analysis difficult. As a result, a vast number of ultrasound despeckling methods have been introduced. One of the most successful multiscale Bayesian techniques is based on modeling the wavelet coefficients of the logarithmically transformed ultrasound images using a SαS prior. These improvements can be explained by two special characteristics of DTCWT; DTCWT is approximately shift invariant and it has better directional selectivity compared to standard wavelet transforms. Therefore, the DTCWT is proposed as a good candidate for ultrasound despeckling.
Ultrasound Speckle Reduction in the Complex Wavelet Domain, Page 1 of 2
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