Title :
Single image super resolution based on sparse representation and adaptive dictionary selection
Author :
Chang-Hong Fu ; Hongli Chen ; Hongbin Zhang ; Yui-Lam Chan
Author_Institution :
Sch. of Electron. & Opt. Eng., Nanjing Univ. of Sci. & Technol., Nanjing, China
Abstract :
An improved single image super resolution based on patch-wise sparse recovery is proposed in this paper. K-SVD is adopted to train a coupled dictionary. Besides, adaptive selection is proposed among dictionaries with different patch size. Simulation results show that the proposed approach provides good subjective quality and up to 0.4 dB PSNR improvement with significant time reduction.
Keywords :
image representation; image resolution; singular value decomposition; K-SVD; PSNR improvement; adaptive dictionary selection; patch size; patch-wise sparse recovery; single image super resolution; sparse representation; time reduction; Dictionaries; Digital signal processing; Image reconstruction; Image resolution; Signal resolution; Training; Vectors; K-svd; adpative dictionary selection; dictionary learning; sparse representation; super resolution;
Conference_Titel :
Digital Signal Processing (DSP), 2014 19th International Conference on
Conference_Location :
Hong Kong
DOI :
10.1109/ICDSP.2014.6900704
