Study of Image Denoising Based on Wavelet Domain HMT Model
Wenxin Li, Jing Chen, Fan Wenbing · Modern Electronics Technique · 2009
Wavelet-domain Hidden Markov Tree(HMT) is studied and an advanced method suppressing Gaussian noise based on wavelet-domain HMT proposed in the text.Shifting the image horizontally,vertically and diagonally first,then using the Hidden Markov Tree model(HMT) to characterize the wavelet coefficients of shifted image and denoise.Finally the average of all the denoised image is chosen as the last denoised image.The effectiveness of the method is demonstrated by using numerical simulation in the image of Lena.Compared with wavelet-domain hard and soft threshold denoising method into different white-Gaussian noise image,the simulation results show that the method can wipe off the white noise better and increase the PSNR while containing the detail of the image edge and weakening the Gibbs effectively.