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- W2741247997 abstract "This paper proposes an efficient method to modify gradient and intensity histograms (GIH) for contrast enhancement, which plays an important role in remote sensing image processing and information extraction. First, a self-adaptive algorithm is used to flatten the shape of GIH of input image according to standard deviation of GIH. Then, the standard lookup table-based histogram equalization procedure is applied to get well enhanced image. Experimental results, using various remote sensing images, show that the proposed method generates enhanced images with more information and higher visual quality, compared with several conventional methods." @default.
- W2741247997 created "2017-08-08" @default.
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- W2741247997 date "2017-01-01" @default.
- W2741247997 modified "2023-09-22" @default.
- W2741247997 title "A self-adaptive Contrast Enhancement Method Based on Gradient and Intensity Histogram for Remote Sensing Images" @default.
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- W2741247997 doi "https://doi.org/10.2991/iccia-17.2017.53" @default.
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