[1]佳伟[],徐煜明[][],肖贤建[]. 基于小波变换和迭代反向投影的超分辨率算法[J].计算机技术与发展,2015,25(02):74-77.
　SONG Jia-wei[],XU Yu-ming[][],XIAO Xian-jian[]. A Super Resolution Algorithm Based on Wavelet Transform and Iterative Back Projection[J].,2015,25(02):74-77.
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 基于小波变换和迭代反向投影的超分辨率算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年02期
页码:
74-77
栏目:
智能、算法、系统工程
出版日期:
2015-02-10

文章信息/Info

Title:
 A Super Resolution Algorithm Based on Wavelet Transform and Iterative Back Projection
文章编号:
1673-629X（2015)02-0074-04
作者:
 佳伟[1] ; 徐煜明[1][2]; 肖贤建[2]
1.河海大学 计算机与信息学院；2. 常州工学院 计算机信息工程学院
Author(s):
 SONG Jia-wei[1] ; XU Yu-ming[1][2];  XIAO Xian-jian[2]
关键词:
 ; 单帧图像; 超分辨率; 小波变换; 迭代反向投影
Keywords:
 ; single image; super resolution; wavelet transform; iterative back projection
分类号:
TP301.6
文献标志码:
A
摘要:
 针对单帧图像的超分辨率的重建问题，在分析基于小波域及空间域相关算法的基础上，提出了一种基于小波变换和迭代反向投影的超分辨率重建算法。该算法结合了小波域和空间域算法的优势，在小波域通过小波变换对图像进行分解，再利用迭代反向投影方法使重构误差最小化，在小波域和空间域均采用简单插值方法来降低计算复杂度。实验数据表明，该算法与现有其他算法相比，得到的峰值信噪比较高，且运算复杂度较低，对图像的重建质量有明显改善。
Abstract:
 For problem of single-image super resolution reconstruction,on the basis of analyzing algorithms in wavelet domain and spatial domain,a super resolution algorithm based on wavelet transform and iterative back projection is proposed. It combines the advantages of algorithms in wavelet domain and spatial domain,decomposes the image by wavelet transform in wavelet domain while the iterative back projection is used to minimize the reconstruction error,interpolation methods are used to reduce the computational complexity. Experimen-tal results show that PSNR is higher and the computational complexity is lower compared with other algorithms,the reconstruction quality of the proposed algorithm is well improved.

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更新日期/Last Update: 2015-04-28