| 基于提升小波双正则化超分辨率算法 |
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| 引用本文： | 薛伟,王培康.基于提升小波双正则化超分辨率算法[J].无线电工程,2009,39(12):24-25,45. |
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| 作者姓名： | 薛伟 王培康 |
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| 作者单位： | 中国科学技术大学,安徽,合肥,230027 |
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| 摘 要： | 基于已有算法的不足,提出了双正则化约束算法。该算法引入图像平滑性约束和点扩散函数平滑性约束,进一步缩小了重建的解空间。在提升小波域上实现算法求解,减少了算法的运算量,加快了迭代收敛速度,降低了对图像平稳性的要求。实验结果表明,该算法能有效地重建超分辨率图像。
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| 关 键 词： | 超分辨率 图像重建 提升小波 双正则化 |
Bi-regularized Super-resolution Algorithm Based on Lifting Wavelet |
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| XUE Wei,WANG Pei-kang.Bi-regularized Super-resolution Algorithm Based on Lifting Wavelet[J].Radio Engineering of China,2009,39(12):24-25,45. |
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| Authors: | XUE Wei WANG Pei-kang |
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| Affiliation: | ( University of Science and Technology of China, Hefei Anhui 230027, China ) |
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| Abstract: | In this paper,an effective algorithm for super-resolution image reconstruction is proposed.It uses bi-regularized function to reduce the solution space.The algorithm is carried on the lifting wavelet domain to speed up convergence rate.The simulation results show that this algorithm is effective. |
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| Keywords: | super-resolution image reconstruction lifting wavelet bi-regularization |
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