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Multiple Description Video Coding Based on Balanced Multiwavelet Image Transformation

机译:基于平衡多小波图像变换的多描述视频编码

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A new MD (multiple description) video coding method, which is based on balanced multiwavelet image transformations, is proposed here. First, we apply balanced multiwavelet transformation to the image; then, corresponding components of each sub-band are gathered together, so that we can decompose the image into 4 MDs. By treating every frame of the video sequences like this, we can get a theme of MD video coding. A practical MD coding theme must satisfy two requirements. First, each description should carry the same amount of information. Secondly, there must be dependence between each description. Among commonly used multiwavelets, we find that only balanced multiwavelets can satisfy these two requirements. Furthermore, based on the feature of CARDBAL2 multiwavelet and strict mathematical deductions, we also find a way to estimate the lost descriptions. The experimental results presented in this paper show that, even when 75% of the data of the image are lost, we could still get a good-quality recovered image, with a PSNR value of nearly 30dB.
机译:本文提出了一种基于平衡多小波图像变换的MD(Multiple Description,多描述)视频编码方法。首先,我们对图像应用平衡多小波变换;然后,将每个子带的相应分量聚集在一起,以便我们可以将图像分解为4个MD。通过像这样处理视频序列的每一帧,我们可以获得MD视频编码的主题。实际的MD编码主题必须满足两个要求。首先,每个描述应包含相同数量的信息。其次,每个描述之间必须存在依赖性。在常用的多小波中,我们发现只有平衡多小波才能满足这两个要求。此外,基于CARDBAL2多小波的特征和严格的数学推论,我们还找到了一种估计丢失描述的方法。本文给出的实验结果表明,即使丢失了75%的图像数据,我们仍然可以获得质量良好的恢复图像,其PSNR值接近30dB。

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