北京交通大学学报（自然科学版）2008，Vol.32Issue(6)：106-110,5.
基于小波域HMT模型融合的图像分辨率增强
Image Resolution Enhancement Based on Wavelet Domain HMT and Fusion
娄帅 1丁振良 1袁峰1
作者信息
- 1. 哈尔滨工业大学,电气工程及自动化学院,哈尔滨,150001
- 折叠
摘要
Abstract
Image resolution enhancement algorithms based on the estimation of detail wavelet coefficients at high resolution scales have been proposed recently.These algorithms assume that the low resolution image is the approximation sub-band of a higher resolution image and interpolates images by predicting coefficients at finer scales.Hidden Markov Tree (HMT) in the wavelet domain using Gaussian mixture models are capable of accurately modeling the statistical behavior of real world images by exploiting relationships between coefficients in different scales and have shown to produce promising results.However,one drawback of these methods is that,the coefficients to be estimated are generated randomly,so the results are different every time,only one of them is chosen finally.In this paper,we propose an algorithm which fuses these random results together by means of the fusion rules based on area-based standard deviation.This makes the enhanced image more suitable for the human vision and reduces the disorder degree of the image.Experiments demonstrate the effectiveness of the proposed method and show the superiority to previous methods in objective and subjective qualities.关键词
图像分辨率/图像增强/隐马尔可夫树/小波Key words
image resolution/image enhancement/hidden Markov tree/wavelet分类
信息技术与安全科学引用本文复制引用
娄帅,丁振良,袁峰..基于小波域HMT模型融合的图像分辨率增强[J].北京交通大学学报（自然科学版）,2008,32(6):106-110,5.
