Embedded-to-lossless coding of motion-compensated prediction residuals in lossless video coding
Embedded-to-lossless coding of motion-compensated prediction residuals in lossless video coding
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DOI：
10.1117/12.411795
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发表时间：
2000-12
期刊：
影响因子：
--
通讯作者：
G. Abhayaratne;D. Monro
中科院分区：
文献类型：
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作者：
G. Abhayaratne;D. Monro
无损视频编码在不能容忍信息或视觉质量损失的应用中是有用的。在嵌入式无损编码中，编码的视频流可以被解码成高达无损比特率的任何比特率，这在许多应用中是非常有用的。在本文中，我们提出的研究是基于无损视频编码，它使用运动补偿预测，以消除时间冗余。我们专门解决的问题，嵌入到无损编码的运动补偿预测残差。由于残差的统计特性与静止图像不同，静止图像的最佳小波基对残差的处理效果不佳。由于残差在高运动区域中包含较高部分的高频信息，因此用于整个帧的固定变换不是非常有效。我们介绍了一种空间自适应小波变换方法，该方法在选择小波基之前考虑了局部帧统计特性。这种变换技术为大多数测试帧提供了最佳性能。
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.