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VLSI Implementation of an Adaptive Edge-Enhanced Color Interpolation Processor for Real-Time Video Applications

机译:实时视频应用的自适应边缘增强色插值处理器的VLSI实现

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In this paper, a low-complexity color interpolation algorithm is proposed for the very-large-scale integration (VLSI) implementation in real-time applications. The proposed novel algorithm consists of an edge detector, an anisotropic weighting model, and a filter-based compensator. The anisotropic weighting model is designed to catch more information in horizontal than vertical directions. The filter-based compensation methodology includes a Laplacian and spatial sharpening filters, which are developed to improve the edge information and reduce the blurring effect. In addition, the hardware cost was successfully reduced by hardware sharing and reconfigurable design techniques. The VLSI architecture of the proposed design achieves 200 MHz with 5.2-K gate counts, and its core area is m synthesized by a 0.18-m CMOS process. Compared with the previous low-complexity techniques, this paper not only reduces gate counts or power consumption by more than 8% or 91.7%, respectively, but also improves the average color peak signal-to-noise ratio quality by more than 1.6 dB.
机译:本文针对实时应用中的超大规模集成(VLSI)实现,提出了一种低复杂度的颜色插值算法。所提出的新颖算法由边缘检测器,各向异性加权模型和基于滤波器的补偿器组成。各向异性加权模型旨在在水平方向上捕获比垂直方向上更多的信息。基于滤波器的补偿方法包括拉普拉斯算子和空间锐化滤波器,它们的开发是为了改善边缘信息并减少模糊效果。此外,通过硬件共享和可重新配置的设计技术成功降低了硬件成本。拟议设计的VLSI架构以5.2-K的门数实现200 MHz的频率,其核心区域通过0.18-m CMOS工艺合成。与以前的低复杂度技术相比,本文不仅将门数或功耗分别降低了8%或91.7%以上,而且将平均色峰信噪比质量提高了1.6 dB以上。

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