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This workshop will serve as a venue for presenting and discussing recent advances and trends in the growing field of computational imaging, which involves imaging systems within which computation is a major component. Research on all aspects of the computational imaging pipeline from data acquisition (including non-traditional sensing methods) to system modeling and optimization to image reconstruction, processing, and analytics will be within scope, with talks addressing theory, algorithms and mathematical techniques, and computational hardware approaches. The range of applications is broad, including biomedical, industrial, and scientific imaging, and novel and extreme imaging systems. Given the rapidly growing interest in data-driven, machine learning, and large-scale learning and optimization based methods in computational imaging, the workshop will have some major focus on some of the key recent and new theoretical, algorithmic, and hardware (for efficient/optimized computation)developments and challenges in these areas. We hope for close interactions between mathematical and applied computational imaging researchers and practitioners.
This workshop will include lightning talks and a poster session for early career researchers (including graduate students). If accepted, you will be asked to do both. In order to propose a lightning session talk and a poster, you must first register for the workshop, and then submit a proposal using the form that will become available on this page after you register. The registration form should not be used to propose a lightning session talk or poster.
The deadline for proposing is May 19, 2024. If your proposal is accepted, you should plan to attend the event in-person.