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Error-bounded lossy compression of floating-point color buffers using quadtree decomposition

机译:使用四叉树分解对浮点颜色缓冲区进行有界错误的有损压缩

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In this paper, we present a new color buffer compression algorithm for floating-point buffers. It can operate in either an approximate (lossy) mode or in an exact (lossless) mode. The approximate mode is error-bounded and the amount of introduced accumulated error is controlled via a few parameters. The core of the algorithm lies in an efficient representation and color space transform, followed by a hierarchical quadtree decomposition, and then hierarchical prediction and Golomb-Rice encoding. We believe this is the first lossy compression algorithm for floating-point buffers, and our results indicate significantly reduced color buffer bandwidths and negligible visible artifacts.
机译:在本文中,我们提出了一种新的用于浮点缓冲区的颜色缓冲区压缩算法。它可以在近似(有损)模式或精确(无损)模式下运行。近似模式有误差限制,并且通过一些参数控制引入的累积误差量。该算法的核心在于高效的表示和色彩空间转换,然后进行分层的四叉树分解,然后进行分层预测和Golomb-Rice编码。我们认为这是第一个针对浮点缓冲区的有损压缩算法,我们的结果表明色彩缓冲区带宽显着减少,可见伪影可忽略不计。

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