Simone Parisotto

Simone Parisotto
University of Cambridge | Cam · Department of Applied Mathematics and Theoretical Physics

Doctor of Philosophy
siHealth Photonics Srl - Image Processing Researcher

About

29
Publications
4,470
Reads
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130
Citations
Introduction
Simone Parisotto currently works for siHealth Photonics Srl, doing image processing research for healthcare. Before that, he was Research Associate at the Department of Applied Mathematics and Theoretical Physics, University of Cambridge and at the Fitzwilliam Museum, where he researched on Mathematical Applications for Cultural Heritage preservation.
Additional affiliations
January 2022 - present
siHealth Photonics SRL
Position
  • Image Processing Researcher
January 2019 - December 2021
University of Cambridge
Position
  • Research Associate
Description
  • Unveiling the invisible - mathematics for conservation in arts and humanities
July 2014 - September 2014
Università degli studi di Verona
Position
  • Researcher
Description
  • Infared Analysis and Image Processing for Cultural Heritage Conservation of Leonardo Da Vinci fresco at "Sala delle Asse" (Castello Sforzesco - Milan).
Education
October 2014 - April 2019
University of Cambridge
Field of study
  • Applied Mathematics
October 2010 - March 2014
Università degli Studi di Verona
Field of study
  • Mathematics
October 2006 - October 2010
Università degli Studi di Verona
Field of study
  • Applied Mathematics

Publications

Publications (29)
Preprint
Full-text available
In this paper we introduce the ROman COmmonware POTtery (ROCOPOT) database, which comprises of more than 2000 black and white imaging profiles of pottery shapes extracted from 11 Roman catalogues and related to different excavation sites. The partiality and the handcrafted variance of the shape fragments within this new database make their unsuperv...
Article
Full-text available
We propose a new variational model for non-linear image fusion. Our approach is based on the use of an osmosis energy term related to the one studied in Vogel et al. and Weickert et al. The minimization of the proposed non-convex energy realizes visually plausible image data fusion, invariant to multiplicative brightness changes. On the practic...
Article
Full-text available
The last fifty years have seen an impressive development of mathematical methods for the analysis and processing of digital images, mostly in the context of photography, biomedical imaging and various forms of engineering. The arts have been mostly overlooked in this process, apart from a few exceptional works in the last ten years. With the rapid...
Preprint
We analyze a new notion of total anisotropic higher-order variation which, differently from total generalized variation in [K. Bredies, K. Kunisch, and T. Pock, SIAM J. Imaging Sci., 3 (2010), pp. 492--526], quantifies for possibly nonsymmetric tensor fields their variations at arbitrary order weighted by possibly inhomogeneous, smooth elliptic ani...
Preprint
Practical image segmentation tasks concern images which must be reconstructed from noisy, distorted, and/or incomplete observations. A recent approach for solving such tasks is to perform this reconstruction jointly with the segmentation, using each to guide the other. However, this work has so far employed relatively simple segmentation methods, s...
Article
Full-text available
In this paper we propose an artificial intelligence imaging solution to support archaeologists in the classification task of Roman commonware potsherds. Usually, each potsherd is represented by its sectional profile as a two dimensional black–white image and printed in archaeological books related to specific archaeological excavations. The partial...
Preprint
Image inpainting refers to the restoration of an image with missing regions in a way that is not detectable by the observer. The inpainting regions can be of any size and shape. This is an ill-posed inverse problem that does not have a unique solution. In this work, we focus on learning-based image completion methods for multiple and diverse inpain...
Preprint
Full-text available
We consider a non-linear variant of the transport-diffusion osmosis model for solving a variety of imaging problems such as shadow/soft-light removal and compact data representation. The non-linear behaviour is encoded in terms of a general scalar function g with suitable properties, which allows to balance the diffusion intensity on the different...
Preprint
Full-text available
In this paper we propose an artificial intelligence imaging solution to support archaeologists in the classification task of Roman commonware potsherds. Usually, each potsherd is represented by its sectional profile as a two dimensional black-white image and printed in archaeological books related to specific archaeological excavations. The partial...
Article
Full-text available
Dual mode imaging in the mid infrared band, a joint use of thermography and quasi-thermal reflectography, was recently proposed as a full field diagnostic tool in cultural heritage. Here we discuss for the first time, to the best of our knowledge, a detailed application of such non destructive technique to the diagnostics of frescoes, with an empha...
Preprint
Full-text available
In this work we present a dual-mode mid-infrared workflow [6], for detecting sub-superficial mural damages in frescoes artworks. Due to the large nature of frescoes, multiple thermal images are recorded. Thus, the experimental setup may introduce measurements errors, seen as inter-frame changes in the image contrast, after mosaicking. An approach t...
Article
Full-text available
We introduce a class of higher-order anisotropic total variation regularizers, which are defined for possibly inhomogeneous, smooth elliptic anisotropies, that extends the total generalized variation regularizer and its variants. We propose a primal-dual hybrid gradient approach to approximating numerically the associated gradient flow. This choice...
Preprint
Full-text available
Our interdisciplinary team Mathematics for Applications in Cultural Heritage (MACH) aims to use mathematical research for the benefit of the arts and humanities. Our ultimate goal is to create user-friendly software toolkits for artists, art conservators and archaeologists. In order for their underlying mathematical engines and functionality to be...
Article
Full-text available
We analyze a new notion of total anisotropic higher-order variation which, differently from total generalized variation in [K. Bredies, K. Kunisch, and T. Pock, SIAM J. Imaging Sci., 3 (2010), pp. 492--526], quantifies for possibly nonsymmetric tensor fields their variations at arbitrary order weighted by possibly inhomogeneous, smooth elliptic ani...
Preprint
Full-text available
We introduce a first order Total Variation type regulariser that decomposes a function into a part with a given Lipschitz constant (which is also allowed to vary spatially) and a jump part. The kernel of this regulariser contains all functions whose Lipschitz constant does not exceed a given value, hence by locally adjusting this value one can dete...
Preprint
Full-text available
We propose a new variational model for nonlinear image fusion. Our approach incorporates the osmosis model proposed in Vogel et al.\ (2013) and Weickert et al.\ (2013) as an energy term in a variational model. The osmosis energy is known to realize visually plausible image data fusion. As a consequence, our method is invariant to multiplicative bri...
Preprint
We introduce a class of higher-order anisotropic total variation regularisers, which are defined for possibly inhomogeneous, smooth elliptic anisotropies, that generalise the Total Generalised Variation (TGV) regulariser and its variants. We propose a primal-dual hybrid gradient approach to approximate numerically the associated gradient flow. Thi...
Chapter
In this paper we propose a variational approach for video denoising, based on a total directional variation (TDV) regulariser proposed in [20, 21] for image denoising and interpolation. In the TDV regulariser, the underlying image structure is encoded by means of weighted derivatives so as to enhance the anisotropic structures in images, e.g. strip...
Article
Full-text available
We present an anisotropic extension of the isotropic osmosis model that has been introduced by Weickert et al. in (Weickert, 2013) for visual computing applications, and we adapt it specifically to shadow removal applications. We show that in the integrable setting, linear anisotropic osmosis minimises an energy that involves a suitable quadratic f...
Preprint
Full-text available
In this paper, we propose a variational approach for video denoising, based on a total directional variation (TDV) regulariser proposed in Parisotto et al. (2018), for image denoising and interpolation. In the TDV regulariser, the underlying image structure is encoded by means of weighted derivatives so as to enhance the anisotropic structures in i...
Preprint
Full-text available
We present an anisotropic extension of the isotropic osmosis model that has been introduced by Weickert et al.~(Weickert, 2013) for visual computing applications, and we adapt it specifically to shadow removal applications. We show that in the integrable setting, linear anisotropic osmosis minimises an energy that involves a suitable quadratic form...
Chapter
Full-text available
In Cultural Heritage (CH) imaging, data acquired within different spectral regions are often used to inspect surface and sub-surface features. Due to the experimental setup, these images may suffer from intensity inhomogeneities, which may prevent conservators from distinguishing the physical properties of the object under restoration. Furthermore,...
Article
In Cultural Heritage (CH) imaging, data acquired within different spectral regions are often used to inspect surface and sub-surface features. Due to the experimental setup, these images may suffer from intensity inhomogeneities, which may prevent conservators from distinguishing the physical properties of the object under restoration. Furthermore,...
Article
Full-text available
We consider Alternating Direction Implicit (ADI) splitting schemes to compute efficiently the numerical solution of the PDE osmosis model considered by Weickert et al. in [10] for several imaging applications. The discretised scheme is shown to preserve analogous properties to the continuous model. The dimensional splitting strategy traduces numeri...
Article
Full-text available
In Cultural Heritage, non-invasive infrared imaging techniques are used to analyse portions of deep structures behind wall paintings. When mosaicked, these images usually suffer from light inhomogeneities due to the experimental setup, which may prevent restorers from distinguishing the physical properties of the object under restoration. A light-b...
Article
We consider Alternating Directional Implicit (ADI) splitting schemes to compute efficiently the numerical solution of the PDE osmosis model considered by Weickert et al. in [10] for several imaging applications. The discretised scheme is shown to preserve analogous properties to the continuous model. The dimensional splitting strategy traduces nume...
Article
Cultural Heritage is discovering how precious is thermal analysis as a tool to improve the restoration, thanks to its ability to inspect hidden details. In this work a novel dual mode imaging approach, based on the integration of thermography and thermal quasi-reflectography (TQR) in the mid-IR is demonstrated for an effective mapping of surface ma...

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Projects

Projects (4)
Project
To design and develop a new nondestructive imaging technique for artwork diagnostics based on the reflected thermal infrared radiation: concept, instrumentation, data analysis, applications.
Archived project
We into infimal convolution type regularisers that allow one to spatially adjust the Lipschitz constant of the reconstruction away from the jumps.
Project
The last 50 years have seen an impressive development of mathematical methods for the analysis and processing of digital images, mostly for photography and biomedical imaging: the arts have been mostly overlooked in this process, apart from a few exceptional works in the last 10 years. With the rapid emergence of digitisation in the arts, however, the arts domain is becoming increasingly receptive to digital image processing methods and the importance of paying attention to this therefore increases. In this project, we explore multiple imaging applications to Cultural Heritage conversation challenges. We develop a new multi-modal non-invasive mid-infrared technique for detecting sub-superficial defects in fresco walls; we digitally fuse multi-modal data via osmosis filter, unveiling hidden features of artworks; we propose a semi-supervised workflow for the detection and inpainting of defects in damaged illuminated manuscripts from the Fitzwilliam Museum's collection in Cambridge.