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A Novel Remote Sensing Image Enhancement Method Using Unsharp Masking in NSST Domain

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Abstract

In order to deal with the pseudo-Gibbs phenomenon and noise interference in the image enhancement, a novel remote sensing image enhancement technique based on unsharp masking and non-subsampled shearlet transform (NSST) is proposed in this paper. The steps of the proposed model are described as follows: Firstly, the input image is decomposed into one low-frequency component and several high-frequency components by the NSST transform; Secondly, the weighted guided image filter is performed on the low-frequency component to improve the contrast of the image, and the hard thresholding is used to suppress the noise of the high-frequency components; Thirdly, the inverse non-subsampled shearlet transform is utilized to reconstruct the image; Finally, the unsharp masking model is performed on the reconstructed image, and the final enhanced image is obtained. Experimental results and comparison analysis demonstrate that the proposed framework outperforms others in terms of remote sensing image enhancement.

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Acknowledgements

This work was supported by the Key Scientific and Technological Research Project of Jilin Province under Grant Nos. 20150204039GX and 20170414017GH; the Natural Science Foundation of Guangdong Province under Grant No. 2016A030313658; the Innovation and Strengthening School Project (provincial key platform and major scientific research project) supported by Guangdong Government under Grant No. 2015KTSCX175; the Premier-Discipline Enhancement Scheme Supported by Zhuhai Government under Grant No. 2015YXXK02-2; the Premier Key-Discipline Enhancement Scheme Supported by Guangdong Government Funds under Grant No. 2016GDYSZDXK036.

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Authors and Affiliations

  1. College of Communication Engineering, Jilin University, No. 5372, Nanhu Road, Changchun, 130012, China

    Liangliang Li & Yujuan Si

  2. Department of Electronic Information, Zhuhai College of Jilin University, Zhuhai, 519041, China

    Yujuan Si

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  1. Liangliang Li
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  2. Yujuan Si
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Correspondence to Yujuan Si.

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Li, L., Si, Y. A Novel Remote Sensing Image Enhancement Method Using Unsharp Masking in NSST Domain. J Indian Soc Remote Sens 46, 1445–1455 (2018). https://doi.org/10.1007/s12524-018-0790-2

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  • DOI: https://doi.org/10.1007/s12524-018-0790-2

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