Image sharpness assessment based on wavelet energy of edge area

Jin Li; Hong Zhang; Lei Zhang; Yifan Yang; Lei He; Mingui Sun

doi:10.1117/12.2302984

10 April 2018 Image sharpness assessment based on wavelet energy of edge area

Jin Li, Hong Zhang, Lei Zhang, Yifan Yang, Lei He, Mingui Sun

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106154Y (2018) https://doi.org/10.1117/12.2302984
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

Abstract

Image quality assessment is needed in multiple image processing areas and blur is one of the key reasons of image deterioration. Although great full-reference image quality assessment metrics have been proposed in the past few years, no-reference method is still an area of current research. Facing this problem, this paper proposes a no-reference sharpness assessment method based on wavelet transformation which focuses on the edge area of image. Based on two simple characteristics of human vision system, weights are introduced to calculate weighted log-energy of each wavelet sub band. The final score is given by the ratio of high-frequency energy to the total energy. The algorithm is tested on multiple databases. Comparing with several state-of-the-art metrics, proposed algorithm has better performance and less runtime consumption.

Citation Download Citation

Jin Li, Hong Zhang, Lei Zhang, Yifan Yang, Lei He, and Mingui Sun "Image sharpness assessment based on wavelet energy of edge area", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106154Y (10 April 2018); https://doi.org/10.1117/12.2302984

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