Hardware Architecture for Adaptive Edge-Directed Interpolation Algorithm

P. Kartheek, E. P. Jayakumar
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引用次数: 1

Abstract

Demosaicing refers to the reconstruction of full color image by the incomplete color samples produced by the single-chip image sensor. So there is a need of interpolation to obtain the missing color pixels. In this work a hardware architecture has been proposed for the adaptive edge-directed interpolation algorithm which uses an edge estimator for the interpolation. The proposed hardware architecture is implemented in Verilog HDL (Hardware Description Language) and synthesized using Cadence Genus compiler with 90nm technology in typical mode. For the proposed architecture, the power dissipation is found to be 26 mW, delay is 7.2 ns and requires 2.3 mm2 area. The demosaiced images obtained using the proposed architecture is observed to have better image quality in terms of peak signal-to-noise ratio and structural similarity while comparing with existing architectures.
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自适应边缘插值算法的硬件结构
去马赛克是指利用单片机图像传感器产生的不完全彩色样本重建全彩色图像。因此需要插值来获得缺失的彩色像素。本文提出了一种利用边缘估计器进行插值的自适应边缘定向插值算法的硬件结构。所提出的硬件架构采用Verilog HDL(硬件描述语言)实现,并在典型模式下使用90nm技术的Cadence Genus编译器进行合成。对于所提出的架构,发现功耗为26 mW,延迟为7.2 ns,需要2.3 mm2的面积。与现有结构相比,使用该结构获得的去马赛克图像在峰值信噪比和结构相似性方面具有更好的图像质量。
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