Details

Autor(en) / Beteiligte

• Xiaofei Yu
• Gaoting Zheng
• Baixiang Wang

Titel

Efficient reconstruction of super-resolution images using an improved orthogonal matching pursuit algorithm

Ist Teil von

• 2015 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2015, p.1-4

Ort / Verlag

IEEE

Erscheinungsjahr

2015

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• This paper presents an improved reconstruction algorithm of super-resolution images using the compressed sensing theory. In particular, Gaussian low-pass filters are proposed to reduce the coherence between the observation matrix and transform matrix for signal representation such that the problem of super-resolution can be formulated as a proper CS reconstruction problem. Experimental results have shown that the proposed algorithm can reduce the computational cost for super-resolution reconstruction from a single image without loss of subjective visual quality.