Destripe Hyperspectral Images with Spectral-spatial Adaptive Unidirectional Variation and Sparse Representation | |
Zhou, D. B.; D. J. Wang; L. J. Huo and P. Jia | |
刊名 | Journal of the Optical Society of Korea |
2016 | |
卷号 | 20期号:6 |
英文摘要 | Hyperspectral images are often contaminated with stripe noise, which severely degrades the imaging quality and the precision of the subsequent processing. In this paper, a variational model is proposed by employing spectral-spatial adaptive unidirectional variation and a sparse representation. Unlike traditional methods, we exploit the spectral correction and remove stripes in different bands and different regions adaptively, instead of selecting parameters band by band. The regularization strength adapts to the spectrally varying stripe intensities and the spatially varying texture information. Spectral correlation is exploited via dictionary learning in the sparse representation framework to prevent spectral distortion. Moreover, the minimization problem, which contains two unsmooth and inseparable l(1)-norm terms, is optimized by the split Bregman approach. Experimental results, on datasets from several imaging systems, demonstrate that the proposed method can remove stripe noise effectively and adaptively, as well as preserve original detail information. |
收录类别 | SCI ; EI |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.ciomp.ac.cn/handle/181722/57488] |
专题 | 长春光学精密机械与物理研究所_中科院长春光机所知识产出 |
推荐引用方式 GB/T 7714 | Zhou, D. B.,D. J. Wang,L. J. Huo and P. Jia. Destripe Hyperspectral Images with Spectral-spatial Adaptive Unidirectional Variation and Sparse Representation[J]. Journal of the Optical Society of Korea,2016,20(6). |
APA | Zhou, D. B.,D. J. Wang,&L. J. Huo and P. Jia.(2016).Destripe Hyperspectral Images with Spectral-spatial Adaptive Unidirectional Variation and Sparse Representation.Journal of the Optical Society of Korea,20(6). |
MLA | Zhou, D. B.,et al."Destripe Hyperspectral Images with Spectral-spatial Adaptive Unidirectional Variation and Sparse Representation".Journal of the Optical Society of Korea 20.6(2016). |
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