New maximum likelihood motion estimation schemes for noisy ultrasound images

摘要: When performing block-matching based motion estimation with the ML estimator, one would try to match blocks from two images, within a predefined search area. The estimated vector is that which maximizes likelihood function, formulated according image formation model. Two new maximum schemes for ultrasound images are presented. functions on assumption both contaminated by Rayleigh distributed multiplicative noise. approach enables in cases where noiseless reference not available. Experimental results show improvement regards other known methods.