## 摘要

The adaptive contrast enhancement (ACE) algorithm is a widely used image enhancement method, which needs a contrast gain to adjust high frequency components of an image. In the literature, the gain is usually inversely proportional to the local standard deviation (LSD) or is a constant. But these cause two problems in practical applications, i.e., noise overenhancement and ringing artifact. In this paper a new gain is developed based on Hunt's Gaussian image model to prevent the two defects. The new gain is a nonlinear function of LSD and has the desired characteristic emphasizing the LSD regions in which details are concentrated. We have applied the new ACE algorithm to chest x-ray images and the simulations show the effectiveness of the proposed algorithm.

原文 | ???core.languages.en_GB??? |
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頁面 | 1826-1830 |

頁數 | 5 |

出版狀態 | 已出版 - 1996 |

事件 | Proceedings of the 1996 IEEE Nuclear Science Symposium. Part 1 (of 3) - Anaheim, CA, USA 持續時間: 2 11月 1996 → 9 11月 1996 |

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???event.eventtypes.event.conference??? | Proceedings of the 1996 IEEE Nuclear Science Symposium. Part 1 (of 3) |
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城市 | Anaheim, CA, USA |

期間 | 2/11/96 → 9/11/96 |