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Author

Adam Piórkowski

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3 papers indexed here

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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. · 0 citations
Open access Jul 2026

One-Pixel Attacks Can Improve the Correctness of Prediction

Evaluating one-pixel attacks on VGG16, MobileNetV2, and EfficientNetV2-B0 using brain tumor MRI images resized to 96 × 96 pixels suggests that one-pixel analysis is useful for assessing CNN robustness in medical imaging.

Wiktoria Tajak, Adam Piórkowski, Karolina Nurzyńska · 0 citations

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