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Study of wavelet decompositions for image/video compression by software codecs

机译:软件编解码器图像/视频压缩小波分解研究

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Although other workers have examined the quality/compression tradeoff for various wavelet approaches, as far as we are aware, no adequate study has been made of the tradeoff between fidelity, processing requirement, and bandwidth. This is crucial to the design of software-only codecs dependent on utilising the main system processing resource. This paper describes on-going work aimed at defining an optimum architecture for such components, and presents results of a systematic study of the standard and non-standard decomposition approaches in conjunction with the Haar wavelet transformation For all images the non-standard decomposition is markedly superior to the standard decomposition achieving over four times the compression for similar quality of reproduction. The algorithm for the non-standard decomposition and the standard decomposition are both of outstandingly low computational complexity with the non-standard being slightly quicker. The results show that the non-standard decomposition in conjunction with the Haar wavelet is an excellent choice as the algorithmic base for a software-only codec.
机译:虽然其他工人已经审查了各种小波方法的质量/压缩权衡,但据我们所知,没有足够的研究,求富裕,加工要求和带宽之间的权衡。这对依赖于利用主系统处理资源的软件编解码器设计至关重要。本文介绍了旨在为这些组件定义最佳架构的持续工作,并介绍标准和非标准分解方法的系统研究结果与所有图像的HAAR小波变换结合非标准分解显着优于标准分解,实现超过四倍的压缩,以获得类似的复制质量。对于非标准分解的算法和标准分解的算法均具有突出的低计算复杂性,而非标准略微更快。结果表明,与哈尔小波结合的非标准分解是作为仅软件编解码器的算法基础的优选选择。

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