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Embedded to lossless coding of motion compensated prediction residuals in lossless video coding

机译:嵌入到无损视频编码中的运动补偿预测残差的无损编码

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Lossless video coding is useful in applications where no loss of information or visual quality is tolerable. In embedded to lossless coding an encoded video stream can be decoded into any bit rate up to the lossless bit rate, which is quite useful in numerous applications. In this paper, the research we present is based on lossless video coding, which uses motion compensated prediction to eliminate temporal redundancy. We specifically address the problem of embedded to lossless coding of the motion compensated prediction residuals. Since the statistical properties of the residuals are different from still images, the best wavelet bases for still images do not perform well for residuals. Since residuals contain a higher portion of high frequency information in high motion regions, a fixed transform for the entire frame is not very efficient. We introduce a spatially adaptive wavelet transform method, which takes the local frame statistics into account before choosing the wavelet base. This transform technique provided the best performance for most of the test frames.
机译:无损视频编码在不可能损失信息或视觉质量的应用中是有用的。在嵌入到无损编码中,编码视频流可以被解码为任何比特率,直到无损比特率,这在许多应用中非常有用。在本文中,我们存在的研究是基于无损视频编码,其使用运动补偿预测来消除时间冗余。我们特别解决嵌入到运动补偿预测残差的无损编码的问题。由于残差的统计特性与静止图像不同,因此静止图像的最佳小波碱基对于残差不表现良好。由于残差包含高运动区域中的高频率信息,因此整个帧的固定变换不是很有效。我们在选择小波基之前引入空间自适应小波变换方法,该方法考虑了本地帧统计。该变换技术为大多数测试帧提供了最佳性能。

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