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Proceedings Paper

Image fusion quality evaluation based on quantized DCT coefficients
Author(s): Shanshan Li; Weiyang Sun
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Paper Abstract

In this paper, two novel non-reference objective image fusion quality evaluation metrics are presented. The novel metrics are based on the correlation between human visual perception and quantized discrete cosine transform coefficients. Hamming distance is adopted to calculate similarity, and then the novel metrics are deduced. The influence of quantization table selection is analyzed. Experiments verify the effectiveness and efficiency of the novel metrics.

Paper Details

Date Published: 29 August 2016
PDF: 5 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003322 (29 August 2016); doi: 10.1117/12.2244477
Show Author Affiliations
Shanshan Li, Chang'an Univ. (China)
Weiyang Sun, Chang'an Univ. (China)


Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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