Abstract
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.
Highlights
Due to the limitations of image acquisition devices and external factors, the resolution of remote sensing images is not very satisfactory, so image enhancement techniques play a very important role in image analysis [1,2]
Fourhistogram existingequalization image enhancement methods were compare with the proposed method, namely (HE) [29], exposure selected based to compare with the proposed method, histogrammodel equalization (HE) [29], exposure sub-image histogram equalization (ESIHE)namely
A novel remote sensing image enhancement technique based on a non-local means filter in nonsubsampled contourlet transform (NSCT) domain is proposed
Summary
Due to the limitations of image acquisition devices and external factors, the resolution of remote sensing images is not very satisfactory, so image enhancement techniques play a very important role in image analysis [1,2]. With the research of image enhancement algorithms, image enhancement methods based on frequency domain transform came into being, with the most typical approach being wavelet transform [18]. A novel enhancement approach based on a non-local means filter in domain is proposed. Approach based on a non-local means filter in NSCT domain is proposed. 4; 4; and thethe conclusions ofof the proposed remote sensing image enhancement method described. 1. NSCT is a characterized transformation bycharacterized multi-scale, good spatial and frequency domain, and shift-invariance higher redundancy. By multi-scale, good spatial and shift-invariance frequency domain, andNSCT higher transform first uses. NSCT transform first uses NSPFB to obtain the multi-scale decomposition of thethen input.
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