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In order to efficiently enhance contrast of the satellite cloud image, an efficient satellite cloud image enhancing method is proposed. Most of existing satellite cloud image enhancing methods do not consider uncertainties of the image, that is to say, fuzziness in the satellite cloud image processing. A new kind of image measure function is proposed by combing fuzzy theory with other some measures...
A single-threshold algorithm to segment typhoon cloud image is proposed based on contourlet transform and Bezier histogram. In order to enhance the contrast and reduce noise of the original typhoon cloud image, discrete contourlet transform is done to the original typhoon cloud image. The contrast is enhanced in the low frequency components based on non-linear transform in the contourlet domain. GA...
Employing discrete curvelet transform (DCT) and generalized cross validation (GCV), an efficient de-noising algorithm for typhoon cloud image is proposed. Asymptotical optimal threshold can be obtained, without knowing the variance of noise, only employing the known input image data. Having implemented DCT to an image, additive gauss white noise (GWN) can be reduced efficiently in the high frequency...
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