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小波包变换技术在图像处理中的应用

The application of wavelet packet transform in image processing
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摘要 为了避免图像视觉效果在传输和获取过程中受到混合噪声的影响,采用小波包分解和重构的算法、空域滤波器进行去噪和小波进行图像融合的方法对图像进行技术处理.实验表明,利用小波包变换技术能对含多种噪声的图像进行增强处理,既能去除图像噪声,又能保持细节背景清晰的图像增强效果. To avoid the effect of transmission and acquisition process by mixed noise on visual effect,wavelet packet decomposition and reconstruction algorithms,spatial filter for denoising and wavelet image fusion method were applied.Experiments showed that the wavelet packet transform with a variety of noise can enhance the image processing and remove image noise while preserving details of the background of a clear image enhancement.
作者 李德启 刘传领
机构地区 商丘职业技术学院计算机系 南京理工大学计算机学院
出处 《郑州轻工业学院学报（自然科学版）》 CAS 2011年第3期33-37,共5页 Journal of Zhengzhou University of Light Industry:Natural Science
关键词 多分辨分析 小波包变换 混合噪声 图像处理 multiresolution analysis wavelet packet transform mixed noise image processing
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献10

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共引文献24

郑州轻工业学院学报（自然科学版）
2011年 第3期

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