Enhancement and Denoising Method of Medical Ultrasound Image Based on Wavelet Analysis and Fuzzy Theory

Medical ultrasound image enhancement and denoising has been an important subject of medical image processing. Aiming at the shortcomings of the traditional ultrasonic image enhancement processing algorithm, this paper proposes a kind of ultrasonic image enhancement and denoising algorithm based on wavelet analysis theory and fuzzy theory, first of all for medical ultrasound images logarithmic transform, transform multiplicative noise into additive noise, Then multi-scale wavelet transform, the ultrasonic image to get images of high frequency and low frequency wavelet coefficients, Low frequency coefficient enhanced in the fuzzy domain, the high frequency coefficients of wavelet soft threshold denoising, The last of the enhanced image is obtained by wavelet reconstruction. Experiments show that the proposed algorithm can effectively enhance the visual effect of ultrasound images and remove noise, and has certain application value and significance.