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Remote sensing image enhancement based on the combination of adaptive nonlinear gain and the PLIP model in the NSST domain

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Abstract

To enhance image detail and contrast effectively, we present a novel enhancement method for remotely sensed images. This method is based on the combination of adaptive nonlinear gain and the parameterized logarithmic image processing model (PLIP) in the nonsubsampled shearlet transform (NSST) domain. The algorithm works in several stages by deconstructing the image into low- and high-frequency components, applying different functions to each set of frequency components, and then applying further enhancement functions to the reconstructed image. The experimental results show that the proposed method performs well in terms of definition gain, the contrast improvement index (CII) and the measure of enhancement by entropy (EMEE) when compared to several state-of-the-art image enhancement algorithms, including the nonsubsampled contourlet transform (NSCT) with fuzzy field enhancement, the NSCT with unsharp masking, the feature-linking model, linking synaptic computation for image enhancement and improved fuzzy contrast in the NSST domain.

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Acknowledgments

This work was supported by the National Science Foundation of China (nos. 61,665,012) and the International Science Cooperation Project of the Ministry of Education of the People’s Republic of China (2016–2196).

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Authors and Affiliations

  1. College of Information Science and Engineering, Xinjiang University, 666 Shengli Road, Tianshan District, Urumqi, China

    Lanhua Zhang & Zhenhong Jia

  2. Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Private Bag, Auckland, 92006, New Zealand

    Lucien Koefoed & Nikola Kasabov

  3. Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, 2-427 SEIEE Building, 800 Dong Chun Road, Shanghai, China

    Jie Yang

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  1. Lanhua Zhang
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Correspondence to Zhenhong Jia.

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Zhang, L., Jia, Z., Koefoed, L. et al. Remote sensing image enhancement based on the combination of adaptive nonlinear gain and the PLIP model in the NSST domain. Multimed Tools Appl 79, 13647–13665 (2020). https://doi.org/10.1007/s11042-019-08586-x

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