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Lensless Fluorescent Microscopy on a Chip
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Local inverse tone curve learning for high dynamic range image scalable compression.

Mikaël Le Pendu, Christine Guillemot, Dominique Thoreau

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |October 7, 2015
    PubMed
    Summary

    This study introduces a scalable high dynamic range (HDR) image coding method. It achieves significant bitrate savings by using a novel template-based interlayer prediction for inverse tone mapping.

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    Area of Science:

    • Computer Vision
    • Image Processing
    • Digital Signal Processing

    Background:

    • High dynamic range (HDR) imaging captures a wider range of luminance than standard displays.
    • Tone Mapping Operators (TMOs) are crucial for displaying HDR images on low dynamic range (LDR) displays.
    • Existing methods for HDR image coding often impose restrictions on TMOs or lack efficiency.

    Purpose of the Study:

    • To develop a scalable HDR image coding scheme that supports arbitrary TMOs, including complex local ones.
    • To improve the efficiency and accuracy of inverse tone mapping in HDR image coding.
    • To reduce the bitrate required for transmitting HDR enhancement layers.

    Main Methods:

    • A block-wise, non-linear approach is employed to handle complex local TMOs.
    • A novel template-based interlayer prediction (ILP) technique is introduced for accurate inverse tone mapping without additional parameters.
    • A linear adjustment of predicted blocks and efficient encoding of scaling parameters are used to further enhance performance.

    Main Results:

    • The proposed method successfully handles arbitrary TMOs, respecting artistic intent.
    • It enables a more accurate inverse tone mapping model compared to traditional linear regression.
    • Experiments demonstrate an average bitrate saving of 47% on the HDR enhancement layer compared to prior local ILP methods.

    Conclusions:

    • The developed scalable HDR image coding scheme offers significant improvements in efficiency and flexibility.
    • The novel template-based ILP method provides a more accurate and parameter-free approach to inverse tone mapping.
    • This work contributes to more effective and perceptually pleasing HDR image compression.