Learning-based Super-resolution via Canonical Correlation Analysis
نویسندگان
چکیده
منابع مشابه
Learning-based Super-resolution via Canonical Correlation Analysis
The task of image super-resolution is to up sample a low resolution (LR) image while recovering sharp edges and high frequency details. In this paper, a single image superresolution algorithm via canonical correlation analysis (CCA) is proposed. This method is based on the assumption that the corresponding LR and high resolution (HR) images have high correlation coefficients when transformed in...
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ژورنال
عنوان ژورنال: International Journal of Signal Processing, Image Processing and Pattern Recognition
سال: 2015
ISSN: 2005-4254
DOI: 10.14257/ijsip.2015.8.6.09