Learning from Ideal Edge for Image Restoration

[1]  Takeo Kanade,et al.  Limits on super-resolution and how to break them , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[2]  Reginald L. Lagendijk,et al.  Block-adaptive image identification and restoration , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

[3]  Ruey-Wen Liu,et al.  Dual-receiver blind identification for image blurs , 1997, Proceedings of 1997 IEEE International Symposium on Circuits and Systems. Circuits and Systems in the Information Age ISCAS '97.

[4]  A.M. Tekalp,et al.  Survey of estimation techniques in image restoration , 1991, IEEE Control Systems.

[5]  William T. Freeman,et al.  Learning Low-Level Vision , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[6]  David Salesin,et al.  Image Analogies , 2001, SIGGRAPH.

[7]  J. Woods,et al.  Identification and restoration of images with symmetric noncausal blurs , 1988 .

[8]  Wu En,et al.  Image-Analogies Based Super Resolution , 2008 .