A Single Image Super-Resolution (SISR) reconstruction method that uses clustered sparse representation and adaptive patch aggregation is proposed. First, we randomly extract image patch pairs from the training images,...A Single Image Super-Resolution (SISR) reconstruction method that uses clustered sparse representation and adaptive patch aggregation is proposed. First, we randomly extract image patch pairs from the training images, and divide these patch pairs into different groups by K-means clustering. Then, we learn an over-complete sub-dictionary pair offline from corresponding group patch pairs. For a given low-resolution patch, we adaptively select one sub-dictionary to reconstruct the high resolution patch online. In addition, non-local self-similarity and steering kernel regression constraints are integrated into patch aggregation to improve the quality of the recovered images. Experiments show that the proposed method is able to realize state-of-the-art performance in terms of both objective evaluation and visual perception.展开更多
Membranoproliferative glomerulonephritis is aglomerulopathy,which accounts for about 30% of thechronic glomerulonephritis in adults.TCMmedication with addition of triptoryph tablets(Tripterygium Wilfordii polyglycosid...Membranoproliferative glomerulonephritis is aglomerulopathy,which accounts for about 30% of thechronic glomerulonephritis in adults.TCMmedication with addition of triptoryph tablets(Tripterygium Wilfordii polyglycosidium) on thebasis of syndrome differentiation had yieldedsatisfactory results in 30 cases of this disease treatedfrom Jan 1998 to Aug 2002.A report follows.展开更多
基金partially supported by the National Natural Science Foundation of China under Grants No. 61071146, No. 61171165the Natural Science Foundation of Jiangsu Province under Grant No. BK2010488+1 种基金sponsored by Qing Lan Project, Project 333 "The Six Top Talents" of Jiangsu Province
文摘A Single Image Super-Resolution (SISR) reconstruction method that uses clustered sparse representation and adaptive patch aggregation is proposed. First, we randomly extract image patch pairs from the training images, and divide these patch pairs into different groups by K-means clustering. Then, we learn an over-complete sub-dictionary pair offline from corresponding group patch pairs. For a given low-resolution patch, we adaptively select one sub-dictionary to reconstruct the high resolution patch online. In addition, non-local self-similarity and steering kernel regression constraints are integrated into patch aggregation to improve the quality of the recovered images. Experiments show that the proposed method is able to realize state-of-the-art performance in terms of both objective evaluation and visual perception.
文摘Membranoproliferative glomerulonephritis is aglomerulopathy,which accounts for about 30% of thechronic glomerulonephritis in adults.TCMmedication with addition of triptoryph tablets(Tripterygium Wilfordii polyglycosidium) on thebasis of syndrome differentiation had yieldedsatisfactory results in 30 cases of this disease treatedfrom Jan 1998 to Aug 2002.A report follows.
