An Image Quality Assessment Technique using Defocused Blur as Evaluation Metric

Huei-Yung Lin, Xin-Han Chou

Abstract

In this paper, an image quality assessment technique based on defocus blur identification is proposed. Some representative image regions containing edge features are first extracted automatically. A histogram analysis based on the comparison of real and synthesized defocused regions is then carried out to estimate the blur extent. By iteratively changing the convolution parameters, the best blur extent is identified from histogram matching. The image quality is finally evaluated based on the overall blur extent of the selected regions. We have performed the experiments using real scene images. It is shown that accurate image quality assessment results can be achieved using the proposed technique.

References

  1. Lin, H.-Y., Gu, K.-D., and Chang, C.-H. (2012). Photo-
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Paper Citation


in Harvard Style

Lin H. and Chou X. (2013). An Image Quality Assessment Technique using Defocused Blur as Evaluation Metric . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 101-104. DOI: 10.5220/0004232101010104


in Bibtex Style

@conference{visapp13,
author={Huei-Yung Lin and Xin-Han Chou},
title={An Image Quality Assessment Technique using Defocused Blur as Evaluation Metric},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={101-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004232101010104},
isbn={978-989-8565-47-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - An Image Quality Assessment Technique using Defocused Blur as Evaluation Metric
SN - 978-989-8565-47-1
AU - Lin H.
AU - Chou X.
PY - 2013
SP - 101
EP - 104
DO - 10.5220/0004232101010104