计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (12): 71-74.DOI: 10.3778/j.issn.1002-8331.2009.12.024

• 研发、设计、测试 • 上一篇    下一篇

满足资源约束的图像复原算法的FPGA实现

王 朋1,刘 鹏2   

  1. 1.黑龙江科技学院 电气与信息工程学院,哈尔滨 150027
    2.哈尔滨工业大学 计算机科学与技术学院,哈尔滨 150001
  • 收稿日期:2008-03-10 修回日期:2008-05-27 出版日期:2009-04-21 发布日期:2009-04-21
  • 通讯作者: 王 朋

FPGA implementation of image restoration under resource constraint

WANG Peng1,LIU Peng2   

  1. 1.School of Electronics and Information,Heilongjiang Institute of Science and Technology,Harbin 150027,China
    2.School of Computer Science and Technology,Harbin Institute of Technology,Harbin 150001,China
  • Received:2008-03-10 Revised:2008-05-27 Online:2009-04-21 Published:2009-04-21
  • Contact: WANG Peng

摘要: 提出了一种基于Van Cittert迭代方法对被乘性噪声污染的观测图像快速复原处理的FPGA电路实现方法。通过研究点扩展函数的对称性,将图像邻域内的像素进行分组滤波运算,明显减少了电路对乘法器数量的要求,有效地利用了FPGA的资源,适当地安排流水线和并行处理单元显著地提高了芯片的运行速度。实验结果表明,对于相同的图像复原处理任务,提出的电路结构需要的逻辑单元数量更少,时间消耗更短。

关键词: 图像复原, 迭代计算, 并行滤波, 现场可编程门阵列

Abstract: A FPGA architecture is proposed for image restoration in which the observed image is contaminated by multiplicative noise.The circuit implements the Van Cittert algorithm.The proposed circuit is designed to execute grouping filter operation after researching the symmetry of the point spread function.Thereby,the architecture reduces the requirement for the number of the multiplying units.The resource in FPGA is used effectively.The speed of the circuit is improved clearly by the use of pipeline and parallel technology.The experimental results show that the circuit has more faster speed and less number of logic cells.

Key words: image restoration, iterative computation, parallel filtering, Field Programmable Gate Array(FPGA)