BM-LRMR: Single Image Reconstruction Using Block-Matching and Low-Rank Matrix Recovery

Autor: De Lie Ming, Hao Dou, Shui Ping Zhang, Xiao Sun, Jinwen Tian, Bin Li
Rok vydání: 2014
Předmět:
Zdroj: Applied Mechanics and Materials. :5125-5128
ISSN: 1662-7482
DOI: 10.4028/www.scientific.net/amm.556-562.5125
Popis: In this letter, a method based on block-matching and Low-rank matrix recovery (BM-LRMR) is proposed for single image reconstruction. While existing approaches usually use many image sequences to restructure new images, our method tries to use a single image to realize the image reconstruction. In our algorithm, the single image is firstly partitioned into blocks. Then a block-matching technique is employed in grouping and constructing the approximately low-rank matrix. A low-rank matrix recovery is used in low-rank matrix decomposition. Finally, a weighted average strategy is using to compute a final estimate of the image by aggregating all of the obtained local estimates. Experimental results on different applications demonstrate the proposed model can work excellently for single image reconstruction.
Databáze: OpenAIRE