Adaptive image denoising based on EMD
Song Guo, Guochang Gu, Changyou Li, Fangjun Luan, Xiaoyu Song · 2013
An adaptive image denoising method based on Empirical Mode Decomposition(EMD)is proposed to denoise image and hold the image details as many as possible simultaneously. Four one-dimension vectors are obtained by expanding the image with noise from the vertical, horizontal, left and right diagonal direction respectively. They are processed using EMD and all Intrinsic Mode Functions(IMFs)resulting from the decomposition of each one-dimension vector are denoised where the hard threshold local denoise method is employed and the proposed adaptive threshold based on the noise standard deviation is used. The de-noised IMFs are summed up. The four de-noised images are obtained by the inverse transform. The last de-noised image is achieved by calculating the mean of the four de-noised images. The experimental results show that the image with noise can be denoised and the details of the image hold effectively.