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Sparse representation has drawn greater attention in color reconstruction. This paper proposes a color reconstruction approach based on sparse representation of classified image patches and non-local sparse coding. Firstly, image patches are classified into smooth, texture and edge classes, and different dictionaries are trained by the relevant information. Then, non-local coefficient is obtained by the calculated local coefficients. Finally, the color of the greyscale image is reconstructed bydoi:10.24507/icicelb.08.03.553 fatcat:a72neowprvhnpfr2hw2lonv7uu