期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：9
页码：181-188
DOI：10.14257/ijsip.2015.8.9.19
出版社：SERSC
摘要：For image denoising and enhancement, we combine dyadic wavelet transform and hidden Markov tree (HMT) model, and propose an image edge enhancement method based on dyadic wavelet domain hidden Markov models and interpolation algorithm. Making use of scale correlation between HMT model and binary wavelet coefficients, we establish different interpolation classification for different pixel distribution, realize enhanced image through transforming low resolution picture into high resolution picture, and simplify the complexity of computing at the same time. The simulation results show that compared with dyadic wavelet transform, both visual effects and quantitative analysis has significantly improved by wavelet domain HMT model method
