[4] Park S C, Park M K, Kang M G. Super-resolution image reconstruction: a technical overview. IEEE signal processing magazine, 20, 21-36(2003).

[5] Freeman W T, Jones T R, Pasztor E C. Example-based super-resolution. IEEE Computer graphics and Applications, 2002, 56-65.

[6] Chang H, Yeung D Y, Xiong Y. Super-resolution through neighbor embedding, 275-282(2004).

[7] Yang J, Wright J, Huang T S. Image super-resolution via sparse representation. IEEE transactions on image processing, 19, 2861-2873(2010).

[8] Dong C, Loy C C, He K. Learning a deep convolutional network for image super-resolution. Springer, Cham, 184-199(2014).

[9] Wu W, Yang X, Liu K. A new framework for remote sensing image super-resolution: sparse representation-based method by processing dictionaries with multi-type features. Journal of Systems Architecture, 64, 63-75(2016).

[11] Yang X, Wu W, Chen W. Remote sensing image super-resolution using dual-dictionary pairs based on sparse presentation and multiple features(2014).

[13] Cheng M. M., Mitra N. J., Huang X.. Global contrast based salient region detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 569-582(2015).