| 基于稀疏表示的超分辨率图像重建 |
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| 引用本文： | 沈丽,韩彦芳.基于稀疏表示的超分辨率图像重建[J].电子科技,2015,28(9):144. |
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| 作者姓名： | 沈丽 韩彦芳 |
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| 作者单位： | (上海理工大学 光电信息与计算机工程学院,上海 200093) |
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| 摘 要： | 针对单幅低分辨率图像的超分辨率重建,提出一种基于稀疏表示的改进算法。通过联合输入低分辨率图像块和对应生成的高分辨率图像块,求解其在高低分辨率字典对上的稀疏表示系数,再将系数与高分辨率字典结合,修正输出的高分辨率图像块。仿真实验表明,文中提出的算法有效提升了重建图像的质量。
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| 关 键 词： | 稀疏表示 超分辨率 图像重建 联合高低分辨图像块 |
Image Super-resolution Reconstruction Based on Sparse Representation |
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| SHEN Li,HAN Yanfang.Image Super-resolution Reconstruction Based on Sparse Representation[J].Electronic Science and Technology,2015,28(9):144. |
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| Authors: | SHEN Li HAN Yanfang |
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| Affiliation: | (School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China) |
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| Abstract: | A super-resolution reconstruction approach to single low-resolution image based on sparse representation is presented.We solve the sparse linear combination of the dictionary through jointing input low-resolution image and generated high-resolution image patches,and then use the coefficients to adjust the output high-resolution image patches.The results of simulation experiments show that the proposed algorithm is effective to improve the quality of the reconstruction of high-resolution image. |
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| Keywords: | sparse representation super-resolution image reconstruction jointing high and low resolution image patches |
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