Very fast image and video codecs are a pursued goal both in the academia and the industry. This paper presents a complexity scalable and parallel bitplane coding engine for wavelet-based image codecs. The proposed method processes the coefficients in parallel, suiting hardware architectures based on vector instructions. Our previous work is extended with a mechanism that provides complexity scalability to the system. Such a feature allows the coder to regulate the throughput achieved at the expense of slightly penalizing compression efficiency. Experimental results suggests that, when using the fastest speed, the method almost doubles the throughput of our previous engine while penalizing compression efficiency by about 10%

中文翻译：

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具有并行系数处理的复杂度可扩展位平面图像编码

非常快的图像和视频编解码器是学术界和工业界追求的目标。本文提出了一种用于基于小波的图像编解码器的复杂度可扩展和并行位平面编码引擎。所提出的方法并行处理系数，适合基于向量指令的硬件架构。我们之前的工作扩展了一种为系统提供复杂性可扩展性的机制。这种特性允许编码器以稍微降低压缩效率为代价来调节实现的吞吐量。实验结果表明，当使用最快速度时，该方法几乎使我们之前引擎的吞吐量翻了一番，同时压缩效率降低了约 10%