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Using one hot residue number system(OHRNS) for digital image processing

机译:使用一个热残留物编号系统(OHRNS)进行数字图像处理

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In this paper, the use of the one hot residue (OHR) number system for digital image processing and its application for designing fast, high-speed and low area image processors are studied. Since digital image filtering in space domain requires many algebra computations, we''re going to propose a system with high computing speed based on OHR. Using proposed system can significantly enhance the speed of the computation operations and hence the system. In the proposed image coding scheme the delay of implementation is equal to delay of a transistor which is a good improvement in compare with the conventional methods such as direct method. Other advantages of using one hot residue (OHR) number system are its simplicity of implementation and minimum power dissipation. Design of adder and multipliers commonly used for filtering with selected moduli set {2n−1+1, 2n−1, 2n| for one hot coding are presented here. MATLAB was used for simulation studies while VLSI tools have been employed for design analysis. The preliminary results show the capability of the proposed method to speed incensement of operation, decreasing of consumption power, facilitating designed hardware and finally decreasing chip production for image processing.
机译:本文研究了一个热残差(OHR)编号系统在数字图像处理中的应用及其在设计快速,高速和低面积图像处理器中的应用。由于空域中的数字图像滤波需要大量的代数计算,因此我们将提出一种基于OHR的高计算速度的系统。使用所提出的系统可以显着提高计算操作的速度,并因此提高系统的速度。在提出的图像编码方案中,实现的延迟等于晶体管的延迟,这与诸如直接方法的常规方法相比是很好的改进。使用一个热残留数(OHR)编号系统的其他优点是其实现简单且功耗最小。通常用于选择模数集{2 n-1 +1,2 n -1,2 n ||的滤波的加法器和乘法器的设计这里介绍一种热编码。 MATLAB用于仿真研究,而VLSI工具已用于设计分析。初步结果表明,该方法具有加速运算香,降低功耗,简化硬件设计以及最终减少图像处理芯片产量的能力。

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