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Browsing by Author "Daubechies, I"
Now showing items 1-5 of 5
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Artificial intelligence for art investigation: Meeting the challenge of separating x-ray images of the Ghent Altarpiece.
Sabetsarvestani, Z; Sober, B; Higgitt, C; Daubechies, I; Rodrigues, MRD (Science advances, 2019-08-30)X-ray images of polyptych wings, or other artworks painted on both sides of their support, contain in one image content from both paintings, making them difficult for experts to "read." To improve the utility of these x-ray ... -
Bayesian crack detection in ultra high resolution multimodal images of paintings
Cornelis, B; Yang, Y; Vogelstein, JT; Dooms, A; Daubechies, I; Dunson, D (2013 18th International Conference on Digital Signal Processing, DSP 2013, 2013-12-06)The preservation of our cultural heritage is of paramount importance. Thanks to recent developments in digital acquisition techniques, powerful image analysis algorithms are developed which can be useful non-invasive tools ... -
Quantitative Canvas Weave Analysis Using 2-D Synchrosqueezed Transforms: Application of time-frequency analysis to art investigation
Yang, Haizhao; Lu, Jianfeng; Brown, WP; Daubechies, I; Ying, Lexing (Signal Processing Magazine, IEEE, 2015-07)Quantitative canvas weave analysis has many applications in art investigations of paintings, including dating, forensics, and canvas rollmate identification. Traditionally, canvas analysis is based on X-radiographs. Prior ... -
Removal of Canvas Patterns in Digital Acquisitions of Paintings
Cornelis, B; Yang, H; Goodfriend, A; Ocon, N; Lu, J; Daubechies, I -
Stable Phase Retrieval from Locally Stable and Conditionally Connected Measurements.
Cheng, C; Daubechies, I; Dym, N; Lu, J (CoRR, 2020)This paper is concerned with stable phase retrieval for a family of phase retrieval models we name "locally stable and conditionally connected" (LSCC) measurement schemes. For every signal $f$, we associate a correspondi...