Textural Adaptive Learning-based Super Resolution for Human Face Images - 文章详情页

作者：

Cao Yang (Cao Yang.) | Li Xiaoguang (Li Xiaoguang.) | Zhuo Li (Zhuo Li.) | Shen Lansun (Shen Lansun.)

收录：

CPCI-S

摘要：

A　low-resolution　face　image　is　segmented　into　detailed　regions　and　flat　regions.　The　detailed　regions　are　super　resolved　using　classified　predictors　according　to　the　local　textural　structures,　while,　the　flat　regions　are　magnified　using　bilinear　interpolation.　Experimental　results　show　that　both　the　visual　quality　and　the　computational　cost　are　improved.

关键词：

super-resolution human face learning-based

作者机构：

[ 1 ] [Cao Yang]Beijing Univ Technol, Signal & Informat Proc Lab, Beijing, Peoples R China
[ 2 ] [Li Xiaoguang]Beijing Univ Technol, Signal & Informat Proc Lab, Beijing, Peoples R China
[ 3 ] [Zhuo Li]Beijing Univ Technol, Signal & Informat Proc Lab, Beijing, Peoples R China
[ 4 ] [Shen Lansun]Beijing Univ Technol, Signal & Informat Proc Lab, Beijing, Peoples R China

通讯作者信息：

[Cao Yang]Beijing Univ Technol, Signal & Informat Proc Lab, Beijing, Peoples R China

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