Medical Image Denoising Algorithm Based on 2D-VMD and BD
In order to improve the quality of denoised images,an algorithm based on 2D-VMD(Two Dimensional Variational Mode Decomposition)and BD(Bhattacharyya Distance)is proposed for image denoising.Firstly,the algorithm uses 2D-VMD algorithm to decompose the image into several IMFs(Intrinsic Mode Functions),and then BD is used to measure the geometric distance between the PDF(Probability Density Function)of each IMF and the original image to distinguish the signal-dominated IMF and the noise-dominated IMF.Finally,the denoising noise-dominated IMF through wavelet threshold denoising and the signal-dominated IMF are reconstructed to obtain the denoised image.The proposed algorithm is applied to medical images.The theoretical analysis and simulation result show that,compared with ROF(Rudin Osher Fatemi)algorithm,median filter and wavelet threshold algorithm,the algorithm of combining 2D-VMD and BD has better denoising effect in both subjective and objective evaluation,and it effectively improves the quality of denoised images.
two dimensional variational mode decomposition(2D-VMD)bhattacharyya distance(BD)intrinsic mode functionsmedical image denoising
万方数据
维普
