Single Image Super-Resolution by Non-Linear Sparse Representation and Support Vector Regression
نویسندگان
چکیده
منابع مشابه
Single Image Super-Resolution by Non-Linear Sparse Representation and Support Vector Regression
Sparse representations are widely used tools in image super-resolution (SR) tasks. In the sparsity-based SR methods, linear sparse representations are often used for image description. However, the non-linear data distributions in images might not be well represented by linear sparse models. Moreover, many sparsity-based SR methods require the image patch self-similarity assumption; however, th...
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ژورنال
عنوان ژورنال: Symmetry
سال: 2017
ISSN: 2073-8994
DOI: 10.3390/sym9020024