Convergence results in image interpolation with the continuous SSIM

F Marchetti, G Santin - SIAM Journal on Imaging Sciences, 2022 - SIAM
Assessing the similarity of two images is a complex task that attracts significant efforts in the
image processing community. The widely used structural similarity index measure (SSIM) …

Oversampling errors in multimodal medical imaging are due to the Gibbs effect

D Poggiali, D Cecchin, C Campi, S De Marchi - Mathematics, 2021 - mdpi.com
To analyze multimodal three-dimensional medical images, interpolation is required for
resampling which—unavoidably—introduces an interpolation error. In this work we describe …

The multi-quantization process with matrix size reduction is applied to compress images with strip structure light that is commonly used in 3D reconstructions

ST Abdulrazzaq, MH Rasheed, MM Siddeq - 2023 - researchsquare.com
In this paper, a novel method for 2D image compression is proposed and demonstrated
through high-quality image reconstruction with compression ratios up to 99%. The proposed …

[HTML][HTML] Reducing the Gibbs effect in multimodal medical imaging by the Fake Nodes Approach

D Poggiali, D Cecchin, S De Marchi - Journal of Computational …, 2022 - Elsevier
It is a common practice in multimodal medical imaging to undersample the anatomically-
derived segmentation images to measure the mean activity of a co-acquired functional …

Convergence analysis for image interpolation in terms of the cSSIM

F Marchetti, G Santin - arXiv preprint arXiv:2108.03879, 2021 - arxiv.org
Assessing the similarity of two images is a complex task that attracts significant efforts in the
image processing community. The widely used Structural Similarity Index Measure (SSIM) …

RBF interpolation and SSIM

F Marchettia, G Santinb - unibas.it
In the field of image reconstruction, the Structural Similarity index (SSIM) is widely used in
assessing the similarity between two images. In this talk, first we present and discuss the …