원문정보
초록
영어
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.
목차
1. Introduction
2. Dyadic Wavelet Transform and Denoising Image
3. Hidden Markov Tree Model
4. Interpolation Calculation
5. Images Denoising and Enhancement based on Wavelet Domain HMT Models
6. Experiment
7. Conclusions
Acknowledgements
References