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Remote Sensing Image Enhancement Based on Non-Local Means Filter in NSCT Domain

College of Communication Engineering, Jilin University, Changchun 130012, China
Department of Electronic Information, Zhuhai College of Jilin University, Zhuhai 519041, China
College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China
Author to whom correspondence should be addressed.
Algorithms 2017, 10(4), 116;
Received: 17 September 2017 / Revised: 27 September 2017 / Accepted: 3 October 2017 / Published: 11 October 2017
PDF [7021 KB, uploaded 12 October 2017]


In this paper, a novel remote sensing image enhancement technique based on a non-local means filter in a nonsubsampled contourlet transform (NSCT) domain is proposed. The overall flow of the approach can be divided into the following steps: Firstly, the image is decomposed into one low-frequency sub-band and several high-frequency sub-bands with NSCT. Secondly, contrast stretching is adopted to deal with the low-frequency sub-band coefficients, and the non-local means filter is applied to suppress the noise contained in the first high-frequency sub-band coefficients. Thirdly, the processed coefficients are reconstructed with the inverse NSCT transform. Finally, the unsharp filter is used to enhance the details of the image. The simulation results show that the proposed algorithm has better performance in remote sensing image enhancement than the existing approaches. View Full-Text
Keywords: NSCT; contrast stretching; non-local means filter; unsharp filter NSCT; contrast stretching; non-local means filter; unsharp filter

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Li, L.; Si, Y.; Jia, Z. Remote Sensing Image Enhancement Based on Non-Local Means Filter in NSCT Domain. Algorithms 2017, 10, 116.

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