Research on medical image denoising based on wavelet pyramid fusion

The noise in medical images will affect the subsequent image processing. In order to reduce the noise in the prostate capsule, we proposed a new noise reduction technology using principal component analysis, wavelet pyramid fusion and adaptive median filtering. Compared with other commonly used denoising algorithms, this method is simple and efficient, and can better maintain image details while reducing noise.