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Two Level Cost-Quality Optimization of 9-7 Lifting-Based Discrete Wavelet Transform

机译:基于9-7提升的离散小波变换的两级成本质量优化

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Implementing the Discrete Wavelet Transform, which is being increasingly recognized in image/video compression standards, in hardware is highly area-consuming. In this paper, a new high-performance lifting-based architecture with optimized error vs. hardware cost is proposed for the 9-7 DWT. In the proposed architecture each constant coefficient multiplier of the conventional lifting structure is split into two new constant multipliers in order to minimize the hardware implementation cost and quantization error. Using an optimization process the appropriate coefficients are determined according to the hardware cost and quality requirements of each application. Simulation results indicate an average quality improvement of 13.5 dB with the same hardware resources. For achieving the same quality, it requires 40% less hardware resources, which makes it suitable for embedded systems.
机译:在硬件中实现在图像/视频压缩标准中越来越识别的离散小波变换,在硬件中是高度区域的。本文提出了一种新的高性能升降基于架构与硬件成本的基于高性能升降的架构,为9-7 dwt。在所提出的体系结构中,传统提升结构的每个恒定系数乘数被分成两个新的恒定乘法器,以便最小化硬件实现成本和量化误差。使用优化过程根据每个应用程序的硬件成本和质量要求确定适当的系数。仿真结果表明,具有相同硬件资源的平均质量提高为13.5 dB。为了实现相同的质量,它需要40%的硬件资源,这使其适用于嵌入式系统。

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