[1] Farsiu S，Robinson M D，Elad M，et al. Robust Shift and Add Approach to Super-Resolution[C]// Proceeding of the SPIE Annual Meeting Nature，San Diego，C A，August 05-08，2003，5203：121-130.

[2] Gonzalez R C，Woods R E. Digital Image Processing [M]. Upper Saddle River，N J：Prentice Hall，2002：467-478.

[3] Gilman A，Bailey D G. Near Optimal Non-uniform Interpolation for Image Super-resolution from multiple images [C]// Image and Version Computing Nature New Zealand(IVCNZ'06)，Great Barrier Island N Z, November 27-29，2006：31-36.

[4] Lertrattanapanich S. Super-resolution from Degraded Image Sequence Using Spatial Tessellations and Wavelets [D]. University Park：Pennsylvania State University，2003：23-25.

[5] Vandewalle P. Super-resolution from Unregistered Aliased Images [D]. Switzerland：Katholieke Universiteit Lenven，2006：15-17.

[6] Pham Q T. Spatiotonal Adaptivity in Super-resolution of Under-sampled Imag Sequences [D]. Australia Geboren te Hanoi：Monash University，2006：46-51.

[7] Arigovindan M，Suhling M，Hunziker P，et al. Variational Image Reconstruction from Arbitrarily Spaced Samples：A fast Multi-Resolution Spline Solution [J]. IEEE Transactions on Image Processing Nature(S1057-7149)，2005，14(4)：450-460.

[8] Takeda H，Farsiu S，Milanfar P. Kernel Regression for Image Processing and Reconstruction [J]. IEEE Transactions on Image Processing Nature (S1057-7149)，2007，16(2)：349-366.

[9] ZHENG Sheng，TIAN Jin-wen，LIU Jian. Research of SVM-based Image Interpolation Algorithm Optimization [J]. Journal of Image and Graphics，2005，10(3)：338-343.

[10] HUANG Xiao. Research on SVM Kernel Function [D]. Shuzhou：Soochow University，2008：19-21.

[11] Charles F Manski. Analog Estimation Methods in Econometrics [M]. New York：Chapman and Hall，1988：342-345.

[12] GAO Hong. Structure Tenser Based Kernel Regression for Irregular Interpolation Algorithm [D]. Nanjing：Nanjing University of Science& Technology，2009.