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FPGA Implementation of Directional Peer-Group Image Filter

  • Ling-Yuan Hsu
  • Shang-Ta Chia
  • Hsien-Hsin ChouEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1075)

Abstract

Peer group is known as one of the simplest methodologies for image denoising in the spatial domain. Unfortunately, its filtering effectiveness will rapidly degrade while the noise density increasing. This paper introduces a modified directional peer-group filter for better restoration of images corrupted by random impulse noises. In addition, a low complexity FPGA architecture for the implementation of this simple algorithm is also demonstrated. Simulation results show that the pro-posed approach can effectively reconstruct images and preserve edges even for the image suffered from high-density noises.

Keywords

Denoising Directional peer-group Image filter FPGA 

Notes

Acknowledgments

This research work was supported by the Ministry of Science and Technology, Taiwan, ROC under Grants MOST 107-2221-E-197-029 and MOST 107-2221-E-562-002.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Information Management, St. Mary’s Junior College of MedicineNursing and ManagementI-LanTaiwan
  2. 2.Department of Electronic EngineeringNational I-Lan UniversityI-LanTaiwan

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