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Compressed Coverage Masks for Path Rendering on Mobile GPUs.

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    We developed a new algorithm for faster curve rendering on mobile GPUs. This method compresses grayscale textures on the CPU, improving rendering speed and saving memory.

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    Area of Science:

    • Computer Graphics
    • Mobile GPU Rendering
    • Image Compression

    Background:

    • Modern GPUs offer numerous compressed texture formats.
    • Platform-independent path rendering often requires CPU-generated grayscale textures for coverage masks.
    • Existing methods can be inefficient in terms of speed and memory usage on mobile devices.

    Purpose of the Study:

    • To accelerate resolution-independent curve rendering on mobile GPUs.
    • To reduce memory footprint and enhance rendering performance.
    • To introduce a CPU-based real-time compression technique for coverage masks.

    Main Methods:

    • Developed a novel algorithm for real-time compression of coverage masks.
    • Implemented CPU-based grayscale texture generation prior to GPU upload.
    • Compared performance against the Skia rendering library's GPU-based implementation.
    • Analyzed worst-case properties of the compression algorithms.

    Main Results:

    • Achieved up to a 2x speed improvement compared to existing GPU-based methods.
    • Obtained up to a 9:1 improvement in GPU memory savings.
    • Demonstrated performance benefits across multiple mobile platforms.

    Conclusions:

    • CPU-based compression of grayscale textures significantly accelerates curve rendering on mobile GPUs.
    • The proposed method offers substantial gains in both rendering speed and memory efficiency.
    • This technique presents a viable alternative for optimizing graphics performance on mobile hardware.