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Wavelet-based perceptually lossless coding of R-G-B images

机译:基于小波的R-G-B图像感知无损编码

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摘要

A perceptually-lossless wavelet-based image compression algorithm and architecture working directly in the R-G-B color domain is proposed. Even though the highest compression ratios are achievable in the Luminance-Chrominance domain, image sensors generate data commonly in a subsampled R-6B format. Many real-time applications (e.g., a low cost digital camera) prohibit the on-line conversion of data from R-G-B format to any other format. Therefore, in these applications, it is desirable to apply the compression directly on R-G-B data. Our compression scheme is based on derived perceptually-lossless quantizing thresholds, and can be mapped into an ASIC yielding very high throughput. Examples illustrating the performance of the coder are presented.
机译:提出了一种基于感知无损的基于小波的图像压缩算法和直接在R-G-B色域中工作的体系结构。即使在“色度-色​​度”域中可以实现最高的压缩率,图像传感器也通常会以子采样的R-6B格式生成数据。许多实时应用程序(例如,低成本数码相机)禁止将数据从R-G-B格式在线转换为任何其他格式。因此,在这些应用中,期望将压缩直接应用于R-G-B数据。我们的压缩方案基于派生的感知无损量化阈值,并且可以映射到产生非常高吞吐量的ASIC中。给出了说明编码器性能的示例。

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