基于点阵矢量量化的MPEG视频转码

László Lois, S. Bozóki
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引用次数: 0

摘要

提出了一种新的MPEG视频码流转码方法。在我们的实现中,在转码器中没有使用标量量化,而是应用了晶格矢量量化器(LVQ)来超越MPEG压缩能力,同时提供可接受的质量。这样,转码后的视频就不再兼容MPEG了,因此在进行MPEG解码之前需要一个低成本的用户界面。然而,与mpeg兼容的转码器在相同比特率下转码的图像相比,解码后的图像具有更高的主观质量。由于LVQ的量化噪声是更均匀的图片,和较少的文物是可见的边缘。除此之外,使用某些LVQ参数也可以略微改善PSNR。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transcoding of MPEG video using lattice vector quantization
We propose a new transcoding method for MPEG video bit-streams. In our implementation, instead of using scalar quantization in the transcoder, a lattice vector quantizer (LVQ) is applied to exceed the MPEG compression capabilities while providing acceptable quality. In this way, the transcoded video is not MPEG-compatible anymore, hence a low cost user interface is needed prior to the MPEG decoding. However, the decoded pictures have higher subjective quality compared to those transcoded by an MPEG-compatible transcoder at the same bit-rate. Due to the LVQ the quantization noise is more uniform on the pictures, and less artifacts are visible around the edges. Beside this, a slight improvement in the PSNR was also experienced by using certain LVQ parameters.
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