AI RESEARCH
Seeing Through the PRISM: Compound & Controllable Restoration of Scientific Images
arXiv CS.CV
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ArXi:2603.14151v1 Announce Type: new Scientific and environmental imagery often suffer from complex mixtures of noise related to the sensor and the environment. Existing restoration methods typically remove one degradation at a time, leading to cascading artifacts, overcorrection, or loss of meaningful signal. In scientific applications, restoration must be able to simultaneously handle compound degradations while allowing experts to selectively remove subsets of distortions without erasing important features.