盐城工学院学报:自然科学版
鹽城工學院學報:自然科學版
염성공학원학보:자연과학판
Journal of Yancheng Institute of Technology(Natural Science Edition)
2011年
4期
52-55
,共4页
LMMSE%矢量空间%上下文模型
LMMSE%矢量空間%上下文模型
LMMSE%시량공간%상하문모형
LMMSE%Vector space%model context
线性最小均方误差估计LMMSE(wavelet-based multiscale linear minimum mean squareerror estimation)目前是小波去噪领域的热门课题,讨论了矢量空间的最小均方误差估计的新算法,主要考虑图像各层间的关系,将线性MMSE运用到矢量空间,对去噪图像边缘模糊问题有较大改善。
線性最小均方誤差估計LMMSE(wavelet-based multiscale linear minimum mean squareerror estimation)目前是小波去譟領域的熱門課題,討論瞭矢量空間的最小均方誤差估計的新算法,主要攷慮圖像各層間的關繫,將線性MMSE運用到矢量空間,對去譟圖像邊緣模糊問題有較大改善。
선성최소균방오차고계LMMSE(wavelet-based multiscale linear minimum mean squareerror estimation)목전시소파거조영역적열문과제,토론료시량공간적최소균방오차고계적신산법,주요고필도상각층간적관계,장선성MMSE운용도시량공간,대거조도상변연모호문제유교대개선。
Linear minimum mean square error estimation-LMMSE(wavelet-based multiscale linear minimum mean square-error estimation) is currently a hot topic of wavelet denoising field.Vector space discussed below is the minimum mean square error estimation of the new algorithm.Considering the image more the relationship between layers and the linear MMSE applied to the vector space,blurring the edges of the image denoising have been greatly improved.