Author

Mahmoud Nasr

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Preprint Open access Oct 2026

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), variational mode d...

Mahmoud Nasr, Jan K. Argasinski, Krzysztof Brzostowski et al. · 0 citations

#edge computing Oct 2026

A BEMD-Based Quaternion Filtering Approach Sharp-to-Soft Kernel CT Image Conversion

The quality of computed tomography (CT) images is significantly affected by the selection of reconstruction kernels: sharp kernels improve spatial resolution but increase noise, whereas soft kernels diminish noise at the expense of edge clarity. This study presents an innovative enhancement framework utilising Bidimens...

Mahmoud Nasr, J. Argasiński, Krzysztof Brzostowski et al. · Lecture notes in computer sc... · 0 citations