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Proceedings Paper

Phase congruency assesses hyperspectral image quality
Author(s): Xiaopeng Shao; Cheng Zhong
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Paper Abstract

Blind image quality assessment (QA) is a tough task especially for hyperspectral imagery which is degraded by noise, distortion, defocus, and other complex factors. Subjective hyperspectral imagery QA methods are basically measured the degradation of image from human perceptual visual quality. As the most important image quality measurement features, noise and blur, determined the image quality greatly, are employed to predict the objective hyperspectral imagery quality of each band. We demonstrate a novel no-reference hyperspectral imagery QA model based on phase congruency (PC), which is a dimensionless quantity and provides an absolute measure of the significance of feature point. First, Log Gabor wavelet is used to calculate the phase congruency of frequencies of each band image. The relationship between noise and PC can be derived from above transformation under the assumption that noise is additive. Second, PC focus measure evaluation model is proposed to evaluate blur caused by different amounts of defocus. The ratio and mean factors of edge blur level and noise is defined to assess the quality of each band image. This image QA method obtains excellent correlation with subjective image quality score without any reference. Finally, the PC information is utilized to improve the quality of some bands images.

Paper Details

Date Published: 19 October 2012
PDF: 11 pages
Proc. SPIE 8514, Satellite Data Compression, Communications, and Processing VIII, 851408 (19 October 2012); doi: 10.1117/12.929183
Show Author Affiliations
Xiaopeng Shao, Xidian Univ. (China)
Cheng Zhong, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 8514:
Satellite Data Compression, Communications, and Processing VIII
Bormin Huang; Antonio J. Plaza; Carole Thiebaut, Editor(s)

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