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- W3206551223 abstract "In order to enhance detail information of the image effectively, this paper proposed a novel improvement method for remote sensing image based on NSST. First, adaptive histogram equalization is adopted to enhance the overall contrast; Second, the remote sensing image is broken down into low-frequency coefficients and high-frequency coefficients by NSST; For the purpose of preventing the over-improvement, the low-frequency sub-band will not be processed, adaptive threshold denoising and linear improvement is used for the high-frequency coefficients. At last, a Laplacian filter is used for improving the details and edges of the reconstructed image. Experimental effects show that the technique has achieved obvious results in remote sensing image improvement." @default.
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- W3206551223 date "2021-09-01" @default.
- W3206551223 modified "2023-09-26" @default.
- W3206551223 title "A Hybrid Remote Sensing Image Improvement Algorithm in View of NSST" @default.
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- W3206551223 doi "https://doi.org/10.1088/1742-6596/2026/1/012048" @default.
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