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A Psychophysical Evaluation of Texture Compression Masking Effects.

Guillaume Lavoue, Michael Langer, Adrien Peytavie

    IEEE Transactions on Visualization and Computer Graphics
    |July 12, 2018
    PubMed
    Summary
    This summary is machine-generated.

    Evaluating lossy texture compression quality is challenging. Masking effects in rendered images significantly impact visual quality, making traditional metrics like Peak Signal-to-Noise Ratio (PSNR) unreliable for assessing compression artifacts.

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    Area of Science:

    • Computer Graphics
    • Perceptual Computing
    • Image Processing

    Background:

    • Lossy texture compression is vital for reducing GPU memory and bandwidth.
    • Traditional quality metrics like Peak Signal-to-Noise Ratio (PSNR) are insufficient for evaluating compressed textures due to perceptual masking effects.
    • Masking effects occur when textures are rendered on surfaces, interacting with lighting and other texture maps.

    Purpose of the Study:

    • To conduct the first psychophysical experiment on the perceptual impact of texture compression artifacts on rendered images.
    • To investigate how compression bit rate, light direction, and texture map content (diffuse and normal) influence perceived artifact visibility.
    • To evaluate the effectiveness of existing image quality metrics in predicting perceived compression artifacts.

    Main Methods:

    • A psychophysical experiment was designed to collect human perception data on rendered textured images.
    • Various compression bit rates, lighting conditions, and texture map types (diffuse, normal) were systematically varied.
    • Collected data were used to analyze masking effects and compare the performance of different image quality metrics.

    Main Results:

    • Significant masking effects were observed between diffuse and normal map compression artifacts.
    • Peak Signal-to-Noise Ratio (PSNR) applied to individual textures poorly predicted the visual impact of compression artifacts in rendered scenes.
    • Analysis revealed the limitations of standard image quality metrics in accurately predicting perceived artifact visibility.

    Conclusions:

    • Perceptual masking is a critical factor in texture compression quality assessment.
    • Relying solely on PSNR for individual texture maps is inadequate for evaluating real-world rendering quality.
    • Recommendations for improved texture compression quality evaluation and a practical application for approximating distortion on rendered 3D shapes were provided.