Anchored neighborhood deep network for single-image super-resolution

Author:

Shi Wuzhen,Liu ShaohuiORCID,Jiang Feng,Zhao Debin,Tian Zhihong

Funder

the MOE–Microsoft Key Laboratory of Natural Language Processing and Speech

the Major State Basic Research Development Program of China

the National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Information Systems,Signal Processing

Reference38 articles.

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2. J Caballero, C Ledig, A Aitken, A Acosta, J Totz, Z Wang, W Shi, in Proceedings of the 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR. Real-time video super-resolution with spatio-temporal networks and motion compensation, (2017), pp. 2848–2857. https://www.engineeringvillage.com/search/doc/detailed.url?SEARCHID=ffefb3e7Mb3c2M44e8Ma22eM42bbf72807b0&usageZone=resultslist&usageOrigin=searchresults&pageType=quickSearch&searchtype=quickSearch&CID=quickSearchDetailedFormat&DOCINDEX=1&database=1&format=quickSearchDetailedFormat&tagscope=&displayPagination=yes .

3. H Chang, DY Yeung, Y Xiong, in Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on, vol. 1. Super-resolution through neighbor embedding (Institute of Electrical and Electronics Engineers Computer Society, 2004), pp. I–I. https://www.engineeringvillage.com/search/doc/detailed.url?SEARCHID=32a31d81M1dbcM4166M9621Mc35ebfa5d73f&usageZone=resultslist&usageOrigin=searchresults&pageType=quickSearch&searchtype=quickSearch&CID=quickSearchDetailedFormat&DOCINDEX=5&database=1&format=quickSearchDetailedFormat&tagscope=&displayPagination=yes .

4. BW Chen, X He, SY Kung, Support vector analysis of large-scale data based on kernels with iteratively increasing order. J. Supercomput. 72(9), 3297–3311 (2015).

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