1Park S C, Park M K, Kang M G. Super-resolution image reconstruction: a technique overview [ J ]. IEEE Signal Processing Magazine, 2003,20 ( 3 ) :21 - 36.
2Farsiu S, Robinson D, Elad M, et al. Advances and challenges in super-resolution [ J ]. International Journal of Imaging Systems and Technology, 2004, 14( 2 ) : 47 - 57.
3Datsenko D, Elad M. Example-based single document image super-resolution: a global MAP approach with outlier rejection [J]. Multidimensional Systems and Signal Processing, 2007, 18(2/3) : 103 - 121.
4Freeman W T, Jones T R, Pasztor E C. Examples-based super-resolution [ J ]. IEEE Computer Graphics Applications, 2002,22 ( 2 ) : 56 - 65.
5Corduneau A, Platt J C. Learning spatially-variable filters for super-resolution of text [ C ]//IEEE International Conference on Image Processing. Genoa, Italy, 2005 : 849 - 852.
6Pickup L C, Roberts S J, Zisserman A. A sampled texture prior for image super-resolution [ J ]. Advances in Neural Information Processing Systems, 2004, 16:1587 - 1594.
7Park J, Kwon Y, Kim J H. An example-based prior model for text image super-resolution [C]//Proceeding of the 2005 Eighth International Conference on Document Analysis and Recognition. Seoul, Korea,2005:374 - 378.
8Nene A S, Nayar S K. A simple algorithm for nearest neighbor search in high dimensions [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19(9) : 989 - 1003.
9Capel D, Zisserman A. Super-resolution from multiple views using learnt image models [ C ]//Proceeding of International Conference Computer Vision Pattern Recognition. Santa Barbara, CA, 1998:885 -891.
10Baker S, Kanade T. Limits on super-resolution and how to break them [ J ]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(9 ) : 1167 - 1183.