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Decomposition-Guided Curvelet Thresholding for Sharp-to-Soft CT Kernel Conversion
Image denoising is a crucial task in image processing, focused on improving image quality by minimizing noise while maintaining essential structural elements. This study presents a hybrid denoising framework that combines several decomposition techniques, including empirical mode decomposition (EMD)
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