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The important convolution properties include width, area, differentiation, and integration properties.
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Convolutional Neural Network Based Synthesized View Quality Enhancement for 3D Video Coding.

Linwei Zhu, Yun Zhang, Shiqi Wang

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    This study introduces a convolutional neural network (CNN) method to enhance synthesized view quality in 3D High Efficiency Video Coding (HEVC). The approach reduces artifacts and significantly lowers bit rates for improved 3D video performance.

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    Area of Science:

    • Computer Vision
    • Video Coding
    • Machine Learning

    Background:

    • Synthesized view quality is crucial for 3D video systems.
    • Existing 3D High Efficiency Video Coding (HEVC) methods face challenges in maintaining synthesized view quality and coding efficiency.
    • Artifacts in synthesized views degrade the overall 3D viewing experience.

    Purpose of the Study:

    • To propose a convolutional neural network (CNN) based method for enhancing synthesized view quality in 3D HEVC.
    • To improve the coding efficiency of 3D video systems by reducing distortions in synthesized views.
    • To reconstruct distortion-free synthesized images using image restoration techniques.

    Main Methods:

    • Formulating distortion elimination as an image restoration task using CNNs.
    • Incorporating learned CNN models into the 3D HEVC codec for view synthesis optimization (VSO) and final view enhancement.
    • Considering geometric and compression distortions specific to synthesized views.
    • Deriving a new Lagrange multiplier for the rate-distortion (RD) cost function to adapt the CNN-based VSO process.

    Main Results:

    • The proposed scheme effectively eliminates artifacts in synthesized images.
    • Achieved a 25.9% bitrate reduction in terms of Peak-Signal-to-Noise Ratio (PSNR).
    • Achieved an 11.7% bitrate reduction in terms of Structural Similarity (SSIM) index.
    • Demonstrated significant performance improvement over state-of-the-art methods.

    Conclusions:

    • The CNN-based approach significantly enhances synthesized view quality in 3D HEVC.
    • The method offers substantial improvements in coding efficiency and visual quality.
    • This technique represents a significant advancement in 3D video processing and coding.