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2012 | OriginalPaper | Buchkapitel

91. Image Quality Assessment Based on Complex Representation of Structure Information

verfasst von : Yong Wang, Xiaohui Zhao, Xiuling Mo, Yuqing Wang

Erschienen in: Electrical, Information Engineering and Mechatronics 2011

Verlag: Springer London

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Abstract

Local variance and single pixel value are combined to describe image structure information using complex method in this paper in order to improve the consistency of objective image assessment result with that of subjective method. The effect of the detail structure information on the image quality was emphasized by this method accordingly. Singular value decomposition was performed on local variance distribution complex matrix. The angle between the singular value vectors of the reference image and the disturbed image was used to measure their structural similarity. Then the quality assessment process was achieved. Results from experiments show that the proposed method is better consistent with human visual system characteristics than MSE, PSNR, and SSIM.

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Metadaten
Titel
Image Quality Assessment Based on Complex Representation of Structure Information
verfasst von
Yong Wang
Xiaohui Zhao
Xiuling Mo
Yuqing Wang
Copyright-Jahr
2012
Verlag
Springer London
DOI
https://doi.org/10.1007/978-1-4471-2467-2_91

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