计算机科学 ›› 2011, Vol. 38 ›› Issue (6): 286-287.
• 图形图像 • 上一篇 下一篇
吴玉莲,冯象初
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基金资助:
WU Yu-lian,FENG Xiang-chu
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摘要: 结合新的多尺度几何分析工具波原子和非局部TV正则化提出了一种新的纹理图像去噪模型。该模型充分利用了波原子对振荡纹理图像的稀疏表示和非局部"I'V能较好地处理纹理图像的优点,使得新方法处理后的纹理图像避免了伪吉布斯振荡现象。实验结果表明,新方法的信噪比有一定提高,在保持图像的细节方面与单纯的波原子阂值和非局部`I'V比较也有明显的改善,取得了比较好的视觉效果。
关键词: 图像去噪,波原子,纹理,非局部TV ,阂值
Abstract: A novel denoising model for texture images was proposed,which combines the new multiscale geometric analysis tool-wave atoms and nonlocal total variation regularization scheme. This model well considers the advantages:wave atoms which has the ability of sparse representation of the oscillatory texture images and nonlocal TV version has the ability to handle better textures. Numerical experiments show that the proposed model significantly improves the SNR, performance of preserving details is much better than both only wave atoms threshold and nonlocal TV, therefore together with better visual effects.
Key words: Image denoising, Wave atoms, Textures, Nolocal TV, Threshold
吴玉莲,冯象初. 基于非局部TV正则化的波原子去噪算法[J]. 计算机科学, 2011, 38(6): 286-287. https://doi.org/
WU Yu-lian,FENG Xiang-chu. Denoising Algorithm with Wave Atoms Based on Nonlocal TV Regularization[J]. Computer Science, 2011, 38(6): 286-287. https://doi.org/
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