### Abstract

A new two-dimensional (2-D) recursive conjugate gradient (RCG) algorithm is developed for adaptive filtering. This algorithm is based on the conjugate gradient method of optimization and therefore has a fast convergence characteristic. The RCG is computationally simpler than the recursive least square (RLS) algorithm. The RCG algorithm with the equation-error and output-error methods is investigated for application in image restoration. Simulation results show that the new algorithm significantly outperforms existing algorithms in the restoration of noisy images.

Original language | English (US) |
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Title of host publication | IEEE Digital Signal Processing Workshop |

Pages | 247-250 |

Number of pages | 4 |

State | Published - 1996 |

Externally published | Yes |

Event | Proceedings of the 1996 7th IEEE Digital Signal Processing Workshop - Loen, Norway Duration: Sep 1 1996 → Sep 4 1996 |

### Other

Other | Proceedings of the 1996 7th IEEE Digital Signal Processing Workshop |
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City | Loen, Norway |

Period | 9/1/96 → 9/4/96 |

### Fingerprint

### ASJC Scopus subject areas

- Signal Processing
- Electrical and Electronic Engineering

### Cite this

*IEEE Digital Signal Processing Workshop*(pp. 247-250)

**Image restoration using a conjugate gradient based adaptive filtering algorithm.** / Joo, Kyung Sub; Bose, Tamal; Xu, Guo Fang.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*IEEE Digital Signal Processing Workshop.*pp. 247-250, Proceedings of the 1996 7th IEEE Digital Signal Processing Workshop, Loen, Norway, 9/1/96.

}

TY - GEN

T1 - Image restoration using a conjugate gradient based adaptive filtering algorithm

AU - Joo, Kyung Sub

AU - Bose, Tamal

AU - Xu, Guo Fang

PY - 1996

Y1 - 1996

N2 - A new two-dimensional (2-D) recursive conjugate gradient (RCG) algorithm is developed for adaptive filtering. This algorithm is based on the conjugate gradient method of optimization and therefore has a fast convergence characteristic. The RCG is computationally simpler than the recursive least square (RLS) algorithm. The RCG algorithm with the equation-error and output-error methods is investigated for application in image restoration. Simulation results show that the new algorithm significantly outperforms existing algorithms in the restoration of noisy images.

AB - A new two-dimensional (2-D) recursive conjugate gradient (RCG) algorithm is developed for adaptive filtering. This algorithm is based on the conjugate gradient method of optimization and therefore has a fast convergence characteristic. The RCG is computationally simpler than the recursive least square (RLS) algorithm. The RCG algorithm with the equation-error and output-error methods is investigated for application in image restoration. Simulation results show that the new algorithm significantly outperforms existing algorithms in the restoration of noisy images.

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UR - http://www.scopus.com/inward/citedby.url?scp=0029749339&partnerID=8YFLogxK

M3 - Conference contribution

SP - 247

EP - 250

BT - IEEE Digital Signal Processing Workshop

ER -