| 基于PCA与残差补偿的人脸超分辨率算法 |
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| 引用本文： | 马祥,刘军辉. 基于PCA与残差补偿的人脸超分辨率算法[J]. 计算机工程, 2012, 38(13): 196-198 |
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| 作者姓名： | 马祥 刘军辉 |
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| 作者单位： | 1. 长安大学信息工程学院,西安,710064
2. 装甲兵工程学院信息工程系,北京,100072 |
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| 基金项目： | 国家自然科学基金资助项目，中央高校基本科研业务费专项基金资助项目，长安大学基础研究支持计划专项基金资助项目 |
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| 摘 要： | 提出一种基于主成分分析(PCA)与相似递归残差补偿的人脸超分辨率算法。基于PCA获得高低分辨率人脸图像特征空间的映射系数，通过该系数重建初步的高分辨率人脸图像。利用高低分辨率人脸图像空间同一区域图像块的内容相似性，递归计算残差补偿图像。采用该残差图像对初步重建的全局人脸进行细节补偿。实验结果表明，该算法的重建效果较优。
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| 关 键 词： | 人脸图像 超分辨率 递归 主成分分析 残差补偿 |
| 收稿时间： | 2011-10-08 |
Face Super-resolution Algorithm Based on PCA and Residue Compensation |
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| MA Xiang , LIU Jun-hui. Face Super-resolution Algorithm Based on PCA and Residue Compensation[J]. Computer Engineering, 2012, 38(13): 196-198 |
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| Authors: | MA Xiang LIU Jun-hui |
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| Affiliation: | 1.School of Information Engineering,Chang’an University,Xi’an 710064,China;2.Department of Information Engineering,Academy of Armored Force Engineering,Beijing 100072,China) |
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| Abstract: | This paper proposes a face super-resolution algorithm based on Principle Component Analysis(PCA) and similar recursive residue compensation.The mapping coefficients of low-resolution facial space are obtained based on PCA and preliminary face is reconstructed through these coefficients.Using the similar contents of the same face region in high and low resolution face image,a residual image is computed by recursive linear combination.It uses the residue image to compensate the global image reconstructed.Experimental results show that the proposed method produces high quality images. |
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| Keywords: | face image super-resolution recursion Principle Component Analysis(PCA) residue compensation |
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