Ultrasonic image de-noising and enhancement method
An ultrasound image and image technology, applied in the field of medical image processing, can solve the problems of not making full use of the directional advantages of Curvelet transformation, and the lack of ultrasound images, etc., to achieve the effects of clinical diagnosis, noise suppression, and enhancement of anatomical information
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[0036] The present invention will be further described through examples below, so as to better understand the technical solution of the present invention. Proceed as follows:
[0037] 1. Use Curvelet transform to decompose the image, the number of selected scales is 6 (including low-frequency subbands), and for the second coarsest scale level, the number of selected directions is 16.
[0038] 2. Multiply the low-frequency sub-band coefficients by a small gain coefficient, which is 0.8 in the embodiment.
[0039]
[0040] C 1,1 (i,j) are the original low frequency subband coefficients, are the processed low-frequency subband coefficients.
[0041] 3. Using a direction-selective high-frequency enhancement function MAG m,n (x), processing the coefficients of each high-frequency subband of Curvelet, which is defined as follows:
[0042] MAG m,n (x) = Amp S (m,n)*a*sigm(c(x-T(m,n)-b))-sigm(-c(x-T(m,n)+b))
[0043] in,
[0044] x=abs(C m,n (i, j)), C m,n (i, j) are ...
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