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    This study introduces a hybrid method combining chroma subsampling and luma modification to enhance reconstructed RGB image quality. The novel approach optimizes luma blocks for minimal distortion, improving color peak signal-to-noise ratio (CPSNR).

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    Area of Science:

    • Digital Image Processing
    • Color Image Reconstruction
    • Video Compression

    Background:

    • Chroma subsampling is a common technique in image and video compression.
    • Existing methods may introduce quality distortions in reconstructed full-color images.
    • Improving the fidelity of reconstructed images, especially in video coding, remains a challenge.

    Purpose of the Study:

    • To propose a novel hybrid method for improving the quality of reconstructed RGB full-color images.
    • To minimize color peak signal-to-noise ratio (CPSNR) distortion in reconstructed images.
    • To adapt the method for digital time delay integration and Bayer mosaic images.

    Main Methods:

    • A hybrid approach combining conventional chroma subsampling (4:2:0) with distortion-minimization-based luma modification.
    • Development of a main theorem to determine ideally modified luma blocks in constant time.
    • Optimization of the method for specific image types like digital time delay integration and Bayer mosaic images.

    Main Results:

    • Substantial quality improvement in reconstructed RGB images was demonstrated.
    • Enhanced performance in terms of CPSNR, visual effect, and CPSNR-bitrate trade-off.
    • The method showed superior Bjøntegaard delta PSNR performance compared to existing schemes.

    Conclusions:

    • The proposed hybrid method effectively improves reconstructed RGB image quality.
    • The method offers a globally optimal solution for minimizing color distortion.
    • The technique is adaptable and beneficial for various image types and video coding applications.