Optimization of hybrid imaging systems based on maximization of kurtosis of the restored point spread function

Mads Demenikov

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    I propose a novel, but yet simple, no-reference, objective image quality measure based on the kurtosis of the restored point spread function. Using this measure, I optimize several phase masks for extended-depth-of-field in hybrid imaging systems and obtain results that are identical to optimization results based on full-reference image measures of restored images. In comparison with full-reference measures, the kurtosis measure is fast to compute and requires no images, noise distributions, or alignment of restored images, but only the signal-to-noise-ratio. © 2011 Optical Society of America.
    Original languageEnglish
    JournalOptics Letters
    Volume36
    Issue number24
    Pages (from-to)4740-4742
    ISSN0146-9592
    DOIs
    Publication statusPublished - 2011

    Keywords

    • Phase masks
    • No references
    • Imaging systems
    • Image measure
    • Optical transfer function
    • Objective image quality
    • Noise distribution
    • Hybrid imaging systems
    • Optimization
    • Image quality
    • Restoration

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