Assessment method of image super resolution reconstruction based on local similarity

Authors:
He Yuqing;Chen Shuan;Wei Jianguo
Affiliations:
Tianjin University, Tianjin, China;Tianjin University, Tianjin, China;Tianjin University, Tianjin, China
Venue:
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Year:
2013

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Abstract

Image quality assessment methods are divided into subjective evaluation methods and objective evaluation methods. Normally, subjective assessment methods are difficult to use in actual applications. As a statistical parameter, peak signal-to-noise ratio (PSNR) is commonly used in objective way about image fidelity, but sometimes it is not consistent with the subjective way. This paper proposed an assessment method of image super resolution reconstruction based on local similarity, which is a special reduce-reference image quality assessment. The experimental results show that this method is easier to implement and accords with the Human Visual System (HVS). Combine with other methods, this method can be used as a reference method in quality assessment of image super resolution reconstruction.