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Real-Time Image Compression Methods Incorporating Wavelet Transforms

机译:包含小波变换的实时图像压缩方法

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The aims of the work described here are to develop and implement new generic image compression methods, based on the use of wavelet transforms and vector quantisation techniques, to achieve very high compression results whilst maintaining satisfactory image quality. A major problem with current wavelet-based compression methods is the large amount of computation reqired to process a single image. This problem is exacerbated with the requirement to process video sequences in real-time. We intend to use previously developed hardware/software co-design techniques to partition the compression and decopression algorithms between hardware and software implementations in order to maximise the copression performance at acceptable cost. The paper describes the different software and hardware architectures we propose to investigate.
机译:这里描述的工作的目的是基于使用小波变换和向量量化技术,实现新的通用图像压缩方法,以实现非常高的压缩结果,同时保持令人满意的图像质量。 基于小波的压缩方法的主要问题是需要加工单个图像的大量计算。 该问题加剧了在实时处理视频序列的要求。 我们打算使用先前开发的硬件/软件协同设计技术来分区硬件和软件实现之间的压缩和分布式算法,以便以可接受的成本最大化COPENTION性能。 本文介绍了我们建议调查的不同软件和硬件架构。

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