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Typhoon cloud image enhancement and reducing speckle with genetic algorithm in stationary wavelet domain

Typhoon cloud image enhancement and reducing speckle with genetic algorithm in stationary wavelet domain

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By employing discrete stationary wavelet transform (SWT), generalised cross-validation (GCV), genetic algorithm (GA), and non-linear gain operator, an efficient de-noising and enhancement algorithm for typhoon cloud image is proposed. Having implemented SWT to a typhoon cloud image, noise in a typhoon cloud image is reduced by modifying the stationary wavelet coefficients using GA and GCV at fine resolution levels. Asymptotical optimal de-noising threshold can be obtained, without knowing the variance of noise, by only employing the known input image data. GA and non-linear gain operator are used to modify the stationary wavelet coefficients at coarse resolution levels in order to enhance the details of a typhoon cloud image. Experimental results show that the proposed algorithm can efficiently reduce the speckle in a typhoon cloud image while well enhancing the detail. In order to accurately assess an enhanced typhoon cloud image's quality, an overall score index is proposed based on information entropy, contrast measure and peak signal-noise-ratio (PSNR). Finally, comparisons between the proposed algorithm and other similar methods, which are proposed based on discrete wavelet transform, are carried out.

Inspec keywords: image denoising; storms; genetic algorithms; geophysical signal processing; discrete wavelet transforms; clouds; atmospheric techniques; image enhancement

Other keywords: contrast measure; coarse resolution levels; speckle reduction; image denoising; information entropy; discrete stationary wavelet transform; genetic algorithm; typhoon cloud image enhancement; stationary wavelet domain; peak signal-noise ratio; nonlinear gain operator; generalised cross-validation

Subjects: Geophysics computing; Integral transforms; Integral transforms; Atmospheric, ionospheric and magnetospheric techniques and equipment; Computer vision and image processing techniques; Optimisation techniques; Function theory, analysis; Optical, image and video signal processing; Optimisation techniques; Data and information; acquisition, processing, storage and dissemination in geophysics; Instrumentation and techniques for geophysical, hydrospheric and lower atmosphere research

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