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A Filter Selection Method in Hard Thresholding Recovery for Compressed Image Sensing

  • Phuong Minh Pham
  • Khanh Quoc Dinh
  • Byeungwoo Jeon
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 240)

Abstract

Compressed sensing has been widely researched since the beginning of 2000s. Although there are several well-known signal recovery algorithms, its reconstruction noise cannot be avoided completely, thus requiring good filters to remove the noise in the reconstructing process. Since each different filter has its own advantages and disadvantages depending on specific reconstruction algorithm, the reconstruction performance can be varied according to the choice of filter. This paper proposes an inner filter selection method according to the sampling rate and the property of image to be sensed.

Keywords

Compressed sensing Wiener filter Median filter 

Notes

Acknowledgments

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2011-001-7578).

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Copyright information

© Springer Science+Business Media Dordrecht(Outside the USA) 2013

Authors and Affiliations

  • Phuong Minh Pham
    • 1
  • Khanh Quoc Dinh
    • 1
  • Byeungwoo Jeon
    • 1
  1. 1.School of Electrical and Computer EngineeringSungkyunkwan UniversitySeoulKorea

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