Call For Papers

The topics of interest for submission include,

But are not limited to:

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Computational Imaging

  • Basic theory and physical modeling of computational imaging

  • Computational optical imaging system and coding design

  • Super-resolution, light field and holographic computational imaging

  • Scattering media, non-line-of-sight and computational ghost imaging

  • Single-photon, quantum and adaptive optics imaging

  • Hyperspectral/multispectral/polarization computational imaging

  • Photoacoustic/OCT and computed tomography imaging

  • LiDAR and 3D computational imaging

  • Low-light and extreme environment computational imaging

  • Metasurface/metalens based computational imaging

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Artificial Intelligence·

  • AI-based solution for imaging inverse problems

  • Deep learning and machine learning methods for imaging

  • Lightweight AI model and compression algorithm for imaging

  • Few-shot and weakly-supervised learning for imaging applications

  • Generative AI for imaging simulation, reconstruction and enhancement

  • AI fusion algorithm for multimodal imaging data

  • Interpretability and evaluation system of imaging AI models

  • Privacy protection and federated learning for computational imaging

  • Edge intelligence and end-side deployment of imaging AI models

  • Image feature extraction, recognition and segmentation


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Intelligent Computational Imaging

  • End-to-end AI-driven imaging systems

  • AI-assisted imaging reconstruction and restoration

  • Intelligent super-resolution and enhancement imaging technology

  • AI-driven optical coding and system optimization

  • Intelligent multimodal computational imaging technology

  • Hardware-algorithm co-design for computational imaging

  • Intelligent optoelectronic sensing and imaging technology

  • AI-based automatic calibration and control of imaging systems

  • Hardware acceleration and embedded implementation of imaging AI

  • Intelligent computational imaging under extreme conditions

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Applications of Computational Imaging Technology

  • Biomedical imaging and clinical aided diagnosis

  • Industrial vision imaging and defect detection

  • Imaging for autonomous driving and intelligent transportation

  • Aerospace remote sensing imaging and image interpretation

  • Security monitoring and night vision imaging

  • Microscopic imaging and life science research

  • Endoscopic intraoperative imaging and surgical navigation

  • Imaging technology for cultural heritage conservation

  • Imaging monitoring for agriculture and ecological environment

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