[1]DONG C,LOY C C,HE K,et al.Learning a deep convolutional network for image super-resolution[C]//Proceedings of European Conference on Computer Vision.Berlin,Germany:Springer,2014:184-199.
[2]DONG C,LOY C C,HE K,et al.Image super-resolution using deep convolutional networks[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2016,38(2):295-307.
[3]OSENDORFER C,SOYER H,SMAGT P V D.Image super-resolution with fast approximate convolutional sparse coding[C]//Proceedings of International Conference on Neural Information Processing.Berlin,Germany:Springer,2014:250-257.
[4]WANG Z W,LIU D,YANG J C,et al.Deep networks for image super-resolution with sparse prior[C]//Proceedings of IEEE International Conference on Computer Vision.Washington D.C.,USA:IEEE Press,2015:370-378.
[5]GU S,ZUO W,XIE Q,et al.Convolutional sparse coding for image super-resolution[C]//Proceedings of IEEE International Conference on Computer Vision.Washington D.C.,USA:IEEE Press,2015:1823-1831.
[6]KIM J,LEE J K,LEE K M.Deeply-recursive convolutional network for image super-resolution[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2016:1637-1645.
[7]KIM J,LEE J K,LEE K M.Accurate image super-resolution using very deep convolutional networks[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2016:1646-1654.
[8]HARRIS J L.Diffraction and resolving power[J].Journal of the Optical Society of America,1964,54(7):931-933.
[9]GOODMAN J W,COX M E.Introduction to fourier optics[M].New York,USA:[s.n.],1968:97-101.
[10]HUANG T S.Multiple frame image restoration and registration[EB/OL].[2017-09-18].http://citeseerx.ist.psu.edu/showciting?cid=1269104.
[11]FREEMAN W T,JONES T R,PASZTOR E C.Example-based super-resolution[J].Computer Graphics and Applications,2002,22(2):56-65.
[12]CHANG S G,CVETKOVIC Z,VETTERLI M.Locally adaptive wavelet-based image interpolation[J].IEEE Transactions on Image Processing,2006,15(6):1471-1485.
[13]YANG J,WRIGHT J,HUANG T,et al.Image super-resolution as sparse representation of raw image patches[C]//Pro-ceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2008:1-8.
[14]戴琼海,付长军,季向阳.压缩感知研究[J].计算机学报,2011,34(3):425-434.
[15]SIMONYAN K,ZISSERMAN A.Very deep convolutional networks for large-scale image recognition[EB/OL].[2017-09-18].https://arxiv.org/abs/1409.1556. |