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| 矢量空间上下文模型的LMMSE图像去噪算法研究 |
| LMMSE Image Denoising Algorithm on Vector Space Model Context |
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| DOI：10.3969/j.issn.1671-5322.2011.04.013 |
| 中文关键词: LMMSE 矢量空间 上下文模型 |
| 英文关键词: LMMSE Vector space model context |
| 基金项目:揭阳职业技术学院2010年度学院科研基金重点项目 |
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| 摘要点击次数: 5590 |
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| 中文摘要: |
| 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。 |
| 英文摘要: |
| 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. |
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