[1] Park S C, Park M K, Kang M G. Super-resolution image reconstruction: a technical overview. Signal Processing Magazine,IEEE, 2003, 20(3): 21–36

[2] Tang L. Research on multi-frame image super-resolution reconstruction.Dissertation for the Doctoral Degree. Zhejiang: ZhejiangUniversity, 2011

[3] Pei Z J. The creation of retinal information processing model.Dissertation for the Doctoral Degree. Tianjin: Tianjin Medical University, 2011

[4] Ratliff F, Hartline H K. The responses of Limulus optic nerve fibers to patterns of illumination on the receptor mosaic. The Journal of General Physiology, 1959, 42(6): 1241–1255

[5] Hartline H K. The receptive fields of optic nerve fibers.American Journal of Physiology–Legacy Content, 1940, 130(4): 690–699

[6] Hui Chen, Kai Ouyang. Simulation Comparison of Lateral Inhibition Models in Image Enhancement. Journal of System Simulation, 2003, 15(1): 100–103

[7] Wang Q, He Y Q, Zhou Y C. The infrared image enhancement based on wavelet transformation and lateral inhibition network. Infrared Technology, 2011, 33(9): 541–544 (in Chinese)

[8] Deng G, Cahill LW. An adaptive Gaussian filter for noise reduction and edge detection. In: Proceedings of IEEE Nuclear Science Symposium and Medical Imaging Conference. 1993, 1615–1619

[9] Xiao J X. Super-resolution image reconstruction based on POCS algorithm. Dissertation for the Doctoral Degree. Shanghai: ShanghaiJiao Tong University, 2009

[10] Li X L, Tao D C. A multi-frame image super-resolution method.Signal Processing, 2010, 90(2): 405–414 (in Chinese)

[11] Sutour C, Aujol J F, Deledalle C A. Adaptive regularization of the NL-means: Application to image and video denoising. Hal-00854830, 2013, 2(10): 1–15