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Haze removal is a challenging work in outdoor image applications. Physical model based restoration methods are accepted with higher pertinence, while non-physical model based enhancement methods are more robust and widely applied. A novel haze removal algorithm based on tensor weighted least square decomposition was presented in this paper. By either progressively or recursively applying this decomposition,...
Recently, Synthetic Aperture Radar (SAR) has been widely applied in ocean remote sensing, since its charming advantages. However, the subsequent understanding of SAR images is difficult because of the existence of speckles. Traditional denoising methods fail to remove speckles while preserving edges. Local anisotropy degree derived from nonlinear structure tensor was introduced to distinguish structures...
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