1. How can we accurately capture and compress high-resolution images without losing important details?

  2. What are the most effective compression techniques for Snapshot Compression Imaging, and how can they be optimized for different types of images?

  3. How can we ensure that compressed images are still useful for downstream applications, such as machine learning algorithms or medical diagnosis tools?

  4. What are the trade-offs between compression efficiency and computational complexity, and how can we balance these factors in practical imaging systems?

  5. How can we handle different types of noise and artifacts that may be introduced during the compression process, and how can we minimize their impact on image quality?

  6. What are the implications of Snapshot Compression Imaging for privacy and security, and how can we ensure that sensitive information is not leaked or compromised?

  7. How can we evaluate the performance of different compression algorithms and systems, and what metrics should we use to compare them?

  8. What are the challenges of implementing Snapshot Compression Imaging in real-world applications, and how can we address them

用英文列举Snapshot Compression Imaging研究的问题

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