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Analysis of Coding Gain Due to In-Loop Reshaping.

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    In-loop reshaping enhances video coding efficiency, especially with suboptimal entropy coders. This study theoretically analyzes and experimentally verifies the performance gains in video compression.

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    Area of Science:

    • Digital signal processing
    • Video compression algorithms
    • Information theory

    Background:

    • Reshaping improves video compression ratios by altering signal characteristics.
    • Out-of-loop reshaping was used in HEVC/H.265 as supplemental enhancement information (SEI).
    • In-loop reshaping in VVC/H.266 modifies the residual signal within the coding loop for better efficiency.

    Purpose of the Study:

    • To theoretically analyze the rate-distortion performance of in-loop reshaping.
    • To experimentally verify the theoretical findings on coding efficiency improvements.
    • To derive and validate the peak signal-to-noise ratio (PSNR) gain.

    Main Methods:

    • Theoretical analysis of rate-distortion performance for in-loop reshaping.
    • Experimental verification using standard video sequences and VVC/H.266.
    • Derivation of a closed-form expression for PSNR gain.

    Main Results:

    • In-loop reshaping improves coding efficiency when the entropy coder is suboptimal.
    • Theoretical predictions of coding efficiency gains are consistent with experimental measurements.
    • A closed-form PSNR gain was derived and validated.

    Conclusions:

    • In-loop reshaping is a valuable technique for enhancing video coding efficiency, particularly in practical scenarios with imperfect entropy coding.
    • The study provides theoretical and experimental evidence supporting the effectiveness of in-loop reshaping in VVC/H.266.
    • The derived PSNR gain offers a quantifiable measure of the technique's performance improvement.