FPGA based Histogram Equalization for Image Processing

Nahin Ul Sadad, Afsana Afrin, Md. Nazrul Islam Mondal
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引用次数: 3

Abstract

Histogram Equalization is one of the most common algorithms used in image processing applications. Traditional software based histogram equalization using CPU is no longer sufficient for high-computation based real-time image processing applications. To meet high computation demand, image processing operations can be hardware accelerated using Field Programmable Gate Array (FPGA). In this paper, we implemented histogram equalization using Verilog Hardware Description Language (HDL) on Xilinx FPGA for hardware acceleration. The result shows that our FPGA-based histogram equalization is on average 1.5 thousand times faster than traditional software based histogram equalization on CPU.
基于FPGA的直方图均衡化图像处理
直方图均衡化是图像处理应用中最常用的算法之一。传统的基于软件的基于CPU的直方图均衡已经不能满足高计算量的实时图像处理应用。为了满足高计算需求,可以使用现场可编程门阵列(FPGA)对图像处理操作进行硬件加速。在本文中,我们使用Verilog硬件描述语言(HDL)在Xilinx FPGA上实现了直方图均衡,以实现硬件加速。结果表明,基于fpga的直方图均衡化比传统的基于软件的CPU直方图均衡化平均快1500倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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