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Updated: Jun 22, 2026

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
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Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Evolutionary paths in imaging and recent trends.

Joseph Mait, Ravi Athale, Joseph van der Gracht

    Optics Express
    |May 26, 2009
    PubMed
    Summary
    This summary is machine-generated.

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    Computational imaging advances balance optical and electronic processing for diverse applications. Key approaches include wavefront encoding, multiplex imaging, and feature extraction for enhanced image capabilities.

    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Image Processing

    Background:

    • Modern imaging systems increasingly integrate optical and electronic processing capabilities.
    • Imaging applications span conventional, special purpose, and functional imaging, each with distinct output requirements.
    • The evolution of imaging technology necessitates novel computational approaches.

    Purpose of the Study:

    • To examine recent trends in imaging systems.
    • To identify key approaches in computational imaging.
    • To categorize the goals of computational imaging applications.

    Main Methods:

    • Review of current trends in optical and electronic processing for imaging.
    • Identification and analysis of computational imaging techniques.

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    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
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  • Categorization of imaging applications based on output characteristics.

    • Main Results:

    • A significant trend towards systems balancing optical and electronic processing is observed.
    • Computational imaging aims to achieve visually pleasing, enhanced, or information-rich image outputs.
    • Three primary computational imaging approaches are identified: wavefront encoding, multiplex imaging, and feature extraction.

    Conclusions:

    • Wavefront encoding, multiplex imaging, and feature extraction are pivotal for advancing computational imaging.
    • These methods enable a spectrum of imaging applications, from aesthetic enhancement to functional data extraction.
    • The integration of computational strategies is crucial for future imaging system development.