This paper presents a learning-based method called image super-resolution (SR) for generating a high-resolution (HR) image from a single low-resolution (LR) ...

This paper presents a learning-based method called image super-resolution (SR) for generating a high- resolution (HR) image from a single low-resolution.

This paper presents a learning-based method called image super-resolution (SR) for generating a high-resolution (HR) image from a single low-resolution (LR) ...

This paper presents a learning-based method called image super-resolution (SR) for generating a high-resolution (HR) image from a single low-resolution (LR) ...

Kazuki Taniguchi, Xian-Hua Han, Yutaro Iwamoto, So Sasatani, Yen-Wei Chen Image super-resolution based on locality-constrained linear coding. ICPR, 2012.

This paper presents a sim- ple but effective coding scheme called Locality-constrained. Linear Coding (LLC) in place of the VQ coding in tradi- tional SPM. LLC ...

A novel learning-based method to learn context-specific image sparse representation, which aims at modeling the relationship between low and high-resolution ...

Image super-resolution based on locality-constrained linear coding. Proceedings of the 21st International Conference on Pattern Recognition, ICPR 2012 ...

The traditional SPM approach based on bag-of-features (BoF) requires nonlinear classifiers to achieve good image classification performance.

In this paper, we use a state-of-the-art image classification system based on Locality-constrained Linear Coding (LLC) [18]. Our main contribution in this ...