| 改进的自适应阈值软硬折中Curvelet图像去噪技术 |
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| 引用本文： | 杨国梁,王全,王亚文.改进的自适应阈值软硬折中Curvelet图像去噪技术[J].航空计算技术,2009,39(1):93-97. |
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| 作者姓名： | 杨国梁 王全 王亚文 |
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| 作者单位： | 西安工业大学,计算机科学与工程学院,陕西,西安,710032 |
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| 摘 要： | Curvelet变换是继小波变换和Ridgelet变换之后，更适合图像处理的一种多尺度变换，它能同时获得对图像平滑区域和边缘部分的稀疏表达，且具有很强的方向性。针对软阀值和硬阈值去噪方法存在的不足，提出了基于Curvelet变换域的软硬阈值折中去噪法，并采用不同的阈值自适应地对不同的Curvelet子带进行阈值化，实验结果表明该方法对图像中的边缘曲线特征有更好的复原。去噪后图像PSNR值更高，视觉效果更好。
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| 关 键 词： | Ridgelet变换 Curvelet变换 图像去噪 |
A Image Denoising Improved Method Between Soft and Hard Adaptive Thresholding Based on Curvelet Transform |
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| YANG Guo-liang,WANG Quan,WANG Ya-wen.A Image Denoising Improved Method Between Soft and Hard Adaptive Thresholding Based on Curvelet Transform[J].Aeronautical Computer Technique,2009,39(1):93-97. |
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| Authors: | YANG Guo-liang WANG Quan WANG Ya-wen |
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| Institution: | YANG Guo- liang, WANG Quan, WANG Ya- wen ( Collage of Computer Science and Enginerring, Xi＇an Technological University, Xi＇an 710032, China ) |
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| Abstract: | Curvelet transform is a new kind of multiscale analysis technique after wavelet transform and ridgelet transform,which is able torepresent smooth and edge parts of image with sparsity.In addition,the representation contains more directional.According to the defects of soft thresholding and hard thresholding image denoising methods,the method between soft and hard thresholding image denoising approach in curvelet domain is proposed,and the curvelet transform coeffi-cients in different subbands are filtered w... |
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| Keywords: | ridgelet transform curvelet transform image denoising |
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