### 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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Pages | 247-250 |

Number of pages | 4 |

State | Published - Jan 1 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 |

### ASJC Scopus subject areas

- Signal Processing
- Electrical and Electronic Engineering

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## Cite this

Joo, K. S., Bose, T., & Xu, G. F. (1996).

*Image restoration using a conjugate gradient based adaptive filtering algorithm*. 247-250. Paper presented at Proceedings of the 1996 7th IEEE Digital Signal Processing Workshop, Loen, Norway, .