| 摘要: |
| 提出了一种基于不可分离MRA的小波去噪重建算法.算法将投影数据进行二通道的小波分解,从而直接得到小波的近似系数和细节系数,对这些小波系数进行基于小波的阀值化去噪处理,再经过逆小波变换就得到了最终的重建图像.算法降低了复杂度,与可分离MRA重建算法比较速度更快,并且可以去噪. |
| 关键词: 图像重建 小波变换 局部成像 不可分离MRA |
| DOI：10.3969/j.issn.1001-893X. |
| 投稿时间：2006-08-03修订日期：2006-12-10 |
| 基金项目:国家高技术研究发展计划(863计划) |
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| A Wavelet Local Denoising-Reconstruction Algorithm Based on Non-separable MRA |
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| Abstract: |
| A wavelet reconstruction algorithm based on non - separable MRA is proposed. In the algorithm the projection data is disposed with two -channel wavelet decomposement to obtain the approximate coefficient and the detail coefficient of the image, and then after these coefficients are denoised with soft - thresholding, the image is reconstructed through reverse wavelet transform. With this algorithm, the complexity can be reduced. This algorithm not only has shorter reconstructing time, but also can denoise. |
| Key words: image reconstruction wavelet transform local tomography non - separable MRA |
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