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.
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