中山大学学报（自然科学版）2012，Vol.51Issue(3)：55-59,5.
小波变换与HMT模型的图像插值算法
Image Interpolation Algorithm Based on Wavelet Transform and HMT Model
摘要
Abstract
An image super-resolution processing by using Hidden Markov Tree model to express the wavelet coefficients of the probability of structure is proposed. According to the properties of multiscale wavelet coefficients, the persistency and the exponential decay, wavelet coefficients of the image are modeled as Hidden Markov Tree model. Wavelet-domain HMT model considers the statistical properties of wavelet coefficients. The image interpolation is formulated as a constrained optimization problem. The high-resolution interpolated image which is able to maintain the original image information in the rich high-frequency is obtained. Experiment results show that the algorithm improves the traditional sawtooth effect and smoothing effect caused by interpolation. The PSNR and visual effects of interpolated image are improved obviously.关键词
小波变换/超分辨率处理/插值算法/HMT模型/峰值信噪比Key words
wavelet transform/ super-resolution processing/ interpolation algorithm/ HMT model/ peak signal to noise ratio分类
计算机与自动化引用本文复制引用
郭昌..小波变换与HMT模型的图像插值算法[J].中山大学学报（自然科学版）,2012,51(3):55-59,5.基金项目
国家自然科学基金资助项目(60872163) （60872163）
