[1] Candès E J. Compressive sampling[C]. International Congress of Mathematics. Madrid, Spain,2006,3:14331452.
[2] Donoho D . Compressed sensing[J]. IEEE Trans. on Information Theory,2006,52(4):12891306.
[3] Candès E J , Romberg J. Practical signal recovery from random projections[C]. In SPIE International Symposium on Electronic Imaging: Computational Imaging III, San Jose, California,January 2005.
[4] Gan L. Block compressed sensing of natural images[C]. Proc.Int. Conf. on Digital Signal Processing (DSP), Cardiff,UK,2007.
[8] Chen S, Donoho D , Saunders M. Atomic decomposition by basis pursuit[J]. SIAM Review.2001,43(1):129159.
[9] Rudin L I, Osher S, Fatemi E. Nonlinear total variation based noise removal algorithms[J]. Physica D: Nonlinear Phenomena,1992,60(14):259268.
[10] Blomgren P, Chan T F. Color TV: total variation methods for restoration of vector-valued images[J]. IEEE Trans. Image Process,1998,7:304309.
[11] Tropp J A , Gilbert A C. Signal recovery from partial information by orthogonal matching pursuit [OL]. April 2005, www.personal.umich.edu/-jtropp/papers/TG052Signal Recovery. pdf.
[12] Piella G.New quality measures for image fusion[C].The 7th International Conference on Information Fusion.Stockholm, Sweden, June 28 to July 1,2004:542546.