IntrixKey Research Series — Part VIII : Cognitive Information Bound for Adaptive Photonic Imaging
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2026
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| author | Cardon, Patrick |
| author_facet | Cardon, Patrick |
| contents | <p>The quality of a reconstruction depends not only on the number of measurements acquired, but also on the informational content. Since acquisition parameters can be dynamically adjusted, this development leads us to reconsider the fundamental limitations of imaging approaches using classical methods.<br>The objective of this article is to introduce the concept of the Cognitive Information Bound, which defines the theoretical limit of information accessible to an adaptive imaging system.<br>"Cognitive" sensors seek to dynamically optimize their operation to maximize Fisher information. The Fisher-Cramér-Rao limits provide a theoretical framework for evaluating the ultimate performance of photonic sensors with dynamic limits that depend on the system's adaptation. This presupposes the existence of an acquisition strategy. The total information formula shows that the accessible information depends directly on the chosen acquisition strategy. The Cognitive Information Bound (CIB) represents the maximum theoretical limit of information, the informational boundary of a cognitive sensor, which depends on three main factors closely linked to the physical and operational properties of the system.<br>The IntrixKey framework can be interpreted as a strategy aimed at approaching this informational boundary. The Cognitive Information Bound offers a powerful theoretical framework for rethinking imaging systems and paving the way for a new generation of adaptive sensors capable of approaching these informational boundaries.</p> |
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| id | zenodo_https___doi_org_10_5281_zenodo_19076175 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
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| spellingShingle | IntrixKey Research Series — Part VIII : Cognitive Information Bound for Adaptive Photonic Imaging Cardon, Patrick Détection photonique Imagerie biomédicale Imagerie computationnelle Intelligence artificielle IntrixKey Optique quantique Problèmes inverses reconstruction cognitive imagerie cognitive AI cognitive Cognitive Information Bound computational imaging quantum optics inverse problems photonic sensing biomedical imaging artificial intelligence cognitive reconstruction cognitive imaging systems Cognitive AI Information cognitive <p>The quality of a reconstruction depends not only on the number of measurements acquired, but also on the informational content. Since acquisition parameters can be dynamically adjusted, this development leads us to reconsider the fundamental limitations of imaging approaches using classical methods.<br>The objective of this article is to introduce the concept of the Cognitive Information Bound, which defines the theoretical limit of information accessible to an adaptive imaging system.<br>"Cognitive" sensors seek to dynamically optimize their operation to maximize Fisher information. The Fisher-Cramér-Rao limits provide a theoretical framework for evaluating the ultimate performance of photonic sensors with dynamic limits that depend on the system's adaptation. This presupposes the existence of an acquisition strategy. The total information formula shows that the accessible information depends directly on the chosen acquisition strategy. The Cognitive Information Bound (CIB) represents the maximum theoretical limit of information, the informational boundary of a cognitive sensor, which depends on three main factors closely linked to the physical and operational properties of the system.<br>The IntrixKey framework can be interpreted as a strategy aimed at approaching this informational boundary. The Cognitive Information Bound offers a powerful theoretical framework for rethinking imaging systems and paving the way for a new generation of adaptive sensors capable of approaching these informational boundaries.</p> |
| title | IntrixKey Research Series — Part VIII : Cognitive Information Bound for Adaptive Photonic Imaging |
| topic | Détection photonique Imagerie biomédicale Imagerie computationnelle Intelligence artificielle IntrixKey Optique quantique Problèmes inverses reconstruction cognitive imagerie cognitive AI cognitive Cognitive Information Bound computational imaging quantum optics inverse problems photonic sensing biomedical imaging artificial intelligence cognitive reconstruction cognitive imaging systems Cognitive AI Information cognitive |
| url | https://doi.org/10.5281/zenodo.19076175 |