CAJ | 학술논문

考虑到自然图像小波系数分布的两个统计特性，用多元广义高斯分布（M GGD）模型描述小波系数的统计分布，采用基于上下文模型的自适应协方差矩阵估计，再利用最大后验概率估计原始图像的小波系数。实验表明，该方法在直观视觉上去噪效果明显，在信噪比方面也要优于其他的一些小波去噪方法。
고필도자연도상소파계수분포적량개통계특성，용다원엄의고사분포（M GGD）모형묘술소파계수적통계분포，채용기우상하문모형적자괄응협방차구진고계，재이용최대후험개솔고계원시도상적소파계수。실험표명，해방법재직관시각상거조효과명현，재신조비방면야요우우기타적일사소파거조방법。
The method uses amodel of Multivariate Generalized Gaussian Distribution(MGGD ),which takes advantage of tw o statistic characteristic of wavelet coefficients, to describe the statistic distribution of wavelet coefficients of the clean natural im age. The covariance m atrix is estim ated adaptively w ith the method based on context model.The denoised wavelet coefficients are estim ated by m axim um a posteriori(MAP) estim ator. Experim ents show that the proposed method can get a higher PSN R and outperform better than other published methods.