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基于整体最小二乘法的高分辨率图像重建算法

Total least squares based high-resolution image reconstruction algorithm
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摘要 提出一种用于高分辨率图像重建的整体最小二乘算法。在现有多数重建算法中,假设系统矩阵是精确的而误差主要源于采样图像,但实际上抖动误差也出现在系统矩阵中。该方法能同时最小化这两种误差,采用基于正则化的Rayleigh商来光滑解,用共轭梯度算法来迭代求解该正则化Rayleigh商的最小化函数。实验证明该方法对于抖动系统矩阵是稳定和精确的。 The paper presents a High-Resolution(HR) image reconstruction algorithm based on total least squares approach.Many HR algorithms assume that system matrix is accurate and errors are from the sampled Low-Resolution(LR) images.In practice,errors also occur in the system matrix.The paper proposes the TLS approach that minimizes the two kinds of errors.A Rayleigh Quotient(RQ) formulation based on regularization is used to enforce a smooth solution.Then a conjugate gradient algorithm is used to minimize the modified RQ function.Experiment results show that the method is stable and accurate for the perturbation system matrix.
作者 解凯 吕妍昱
出处 《计算机工程与应用》 CSCD 北大核心 2007年第36期200-201,229,共3页 Computer Engineering and Applications
基金 北京市中青年骨干教师基金
关键词 RAYLEIGH商 整体最小二乘法 高分辨率图像 Rayleigh quotient total least squares high-resolution image
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参考文献3

  • 1Park S C,Park M K,Kang M G.Super-resolution image reconstruction:a technical overview[J].IEEE Signal Processing Magazine, 2003, 21-36.
  • 2Nguyen Nhat,Milanfar P,Golub G.Efficient generalized cross-validation with applications to parametric image and resolution enhancement[J].IEEE Trans ou Image Processing,2001,10(9) : 1299-1308.
  • 3Fletcher R,Reever C M.Function minimization by conjugate gradient[J].Computing J, 1964,7: 149-154.

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