[Imaging quality evaluation of computational imaging spectrometry]

Area of Science:

• Optics and Photonics
• Image Processing
• Spectrometry

Context:

• Computational imaging spectrometry (CIS) offers high throughput and snapshot imaging capabilities.
• Limited research exists on evaluating the imaging quality of CIS systems.
• Standardized imaging quality evaluation methods are needed for CIS.

Purpose:

• To present a quantitative method for evaluating the imaging quality of computational imaging spectrometry (CIS) systems.
• To establish modulation transfer functions (MTFs) as a criterion for CIS imaging quality assessment.
• To analyze the impact of aliasing spectral numbers on reconstructed image quality.

Summary:

• A quantitative evaluation method for CIS imaging quality was developed using an ISO 12233 chart.
• Spatial-spectral information was imaged and reconstructed, with MTFs calculated for quality assessment.
• Results indicate that MTFs decrease rapidly as the aliasing spectral number increases.

Impact:

• Demonstrates a significant 50% MTF decrease at 9 aliasing spectral numbers compared to the original scene.
• Provides insights into the trade-offs and limitations of CIS systems.
• Guides reasonable arrangement of aliasing spectral numbers for precise object scene reconstruction.