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    Area of Science:

    • Optical Coherence Tomography
    • Image Processing
    • Materials Science

    Background:

    • Full-field optical coherence tomography (FF-OCT) is crucial for analyzing transparent materials.
    • Spatial noise in CCD camera images limits defect detection in FF-OCT.
    • Low fringe contrast in transparent samples like Mylar hinders high-resolution analysis.

    Purpose of the Study:

    • To develop and demonstrate a high-dynamic-range (HDR) technique to reduce spatial noise in FF-OCT image frames.
    • To improve fringe contrast for enhanced imaging of transparent and semitransparent samples.
    • To enable the detection of submicrometer-sized defects previously obscured by noise.

    Main Methods:

    • Application of a high-dynamic-range (HDR) technique utilizing exposure bracketing.
    • Signal processing of image frames acquired with a CCD camera.
    • Demonstration on 3 μm thick transparent Mylar polymer films using white-light interference microscopy.

    Main Results:

    • Significant reduction in spatial noise in acquired image frames.
    • Marked improvement in fringe contrast within FF-OCT images.
    • Successful detection of submicrometer-sized defect structures due to increased signal-to-noise ratio.

    Conclusions:

    • The proposed HDR technique effectively enhances FF-OCT imaging of transparent materials.
    • Improved signal-to-noise ratio allows for the detection of previously undetectable submicrometer defects.
    • This method offers a valuable advancement for high-resolution tomographic analysis of challenging samples.