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  • 标题:Face Hallucination Using Sparse Representation Algorithm
  • 本地全文:下载
  • 作者:Sudhir Kumar ; Vikram Mutneja
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2015
  • 卷号:4
  • 期号:9
  • 页码:3691-3697
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Face Hallucination is a super-resolution technique to obtain high-resolution facial images by taking low-resolution facial images as input. In this paper problem of face hallucination has been approached by using sparse Representation. The image has to be subdivided into different segments so that image pixel information can be retrieved easily from each segment. Each small patch of the image has to be enhanced by using sparse representation. Sparse representation utilizes super resolution model to improve the quality of the image. Super-resolution model couples the small patches dictionaries by using different types of linear shifting experiments. Experimental hallucination results demonstrate that our approach can hallucinate high quality super-resolution faces.
  • 关键词:Face hallucination; face recognition; sparse ; representation; super-resolution
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