A. Agrawal, R. Chellappa, and R. Raskar, An algebraic approach to surface reconstruction from gradient fields, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, pp.174-181, 2005.
DOI : 10.1109/ICCV.2005.31

A. Agrawal, R. Raskar, and R. Chellappa, What Is the Range of Surface Reconstructions from a Gradient Field?, Proceedings of the 9th European conference on Computer Vision - Volume Part I, ECCV'06, pp.578-591, 2006.
DOI : 10.1007/11744023_45

R. Chartrand, Fast algorithms for nonconvex compressive sensing: MRI reconstruction from very few data, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2009.
DOI : 10.1109/ISBI.2009.5193034

Z. Du, A. Robles-kelly, and F. Lu, Robust surface reconstruction from gradient field using the l1 norm. DICTA '07, pp.203-209, 2007.

R. Fattal, D. Lischinski, and M. Werman, Gradient domain high dynamic range compression, ACM Trans. Graph, vol.21, issue.3, pp.249-256, 2002.
DOI : 10.1145/566570.566573

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.164.867

R. T. Frankot and R. Chellappa, A method for enforcing integrability in shape from shading algorithms, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.10, issue.4, pp.439-451, 1988.
DOI : 10.1109/34.3909

M. Harker and P. O. Leary, Least squares surface reconstruction from gradients: Direct algebraic methods with spectral, Tikhonov, and constrained regularization, CVPR 2011, pp.2529-2536, 2011.
DOI : 10.1109/CVPR.2011.5995427

B. K. Horn, Height and gradient from shading, International Journal of Computer Vision, vol.238, issue.1, pp.37-75, 1990.
DOI : 10.1007/BF00056771

URL : http://alpha-bits.ai.mit.edu/people/bkph/papers/newsfs.pdf

P. Kovesi, Shapelets correlated with surface normals produce surfaces Seamless image stitching in the gradient domain, Proceedings of the Tenth IEEE International Conference on Computer Vision - Proceedings of the European Conference on Computer Vision, pp.994-1001, 2005.

V. M. Patel, R. Maleh, A. C. Gilbert, and R. Chellappa, Gradient-Based Image Recovery Methods From Incomplete Fourier Measurements, IEEE Transactions on Image Processing, vol.21, issue.1, pp.94-105, 2012.
DOI : 10.1109/TIP.2011.2159803

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.295.308

P. Pérez, M. Gangnet, and A. Blake, Poisson image editing, ACM SIGGRAPH 2003 Papers, SIGGRAPH '03, pp.313-318, 2003.

N. Petrovic, I. Cohen, B. J. Frey, R. Koetter, and T. S. Huang, Enforcing integrability for surface reconstruction algorithms using belief propagation in graphical models, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, pp.743-748, 2001.
DOI : 10.1109/CVPR.2001.990550

D. Reddy, A. K. Agrawal, and R. Chellappa, Enforcing integrability by error correction using l1-minimization, CVPR, pp.2350-2357, 2009.
DOI : 10.1109/cvpr.2009.5206603

T. Simchony, R. Chellappa, and M. Shao, Direct analytical methods for solving Poisson equations in computer vision problems, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.12, issue.5, pp.435-446, 1990.
DOI : 10.1109/34.55103

J. Sun, Z. Xu, and H. Shum, Image super-resolution using gradient profile prior, CVPR. IEEE Computer Society, 2008.

R. J. Woodham, Shape from shading. chapter Photometric method for determining surface orientation from multiple images, pp.513-531, 1989.

L. Xu, S. Zheng, and J. Jia, Unnatural L0 Sparse Representation for Natural Image Deblurring, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.1107-1114, 2013.
DOI : 10.1109/CVPR.2013.147