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題名 | 最小熵解迴旋濾波器應用於模糊影像還原之研究=On the Study of the Blurred Image Restoration Using Minimum Entropy Deconvolution |
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作者 | 劉建宏; 宋志元; Liu, Chien-hung; Sung, Chih-yuan; |
期刊 | 中華技術學院學報 |
出版日期 | 20031200 |
卷期 | 29 2003.12[民92.12] |
頁次 | 頁29-39 |
分類號 | 448.533 |
語文 | chi |
關鍵詞 | 模糊影像; 最小熵解迴旋; 影像還原; 盲目解迴旋; Blurred image; Minimum entropy deconvolution; Image restoration; Blind deconvolution; |
中文摘要 | 一張模糊的影像(Blurred image),若沒足夠之事前資訊息(a priori knowledge)而欲重建原影像是相當困難的。我們提出一個二維(2-D)之反覆迭代式最小熵解迴旋(Minimum Entropy Deconvolution)濾波器,來針對模糊之影像直接作影像還原因(Image Restoration)以重建影像。模糊的過程實際為一解迴旋運算的問題,又因是在原影像特性未知之情況下作反運算,故亦為一盲目解迴旋(Blind Deconvolution)以重建影像。此去模糊的過程實際為一解迴旋運算的問題,又因是在原影像性未知之情況下作反運算,故亦為一盲目解迴旋(Blind deconvolution)的過程。綜合言之,本法能對退化或模糊影像作去模糊之處理且演算法實施於時域中較一般頻域方法,計算快速、方便易行、效果精確。最後本文將提出二值或灰階影像的電腦模擬結果,來示範驗證本文所提2-D最小熵解迴旋影像還原慮波器之高性能。 |
英文摘要 | It is difficult to restore the blurred image when there is not enough a priori knowledge. We present a recursive type minimum entropy deconvolution algorithm to reconstruct the blurred image restoration process directly. Not only the process to deblur image is an image decovolution problem, but also the characteristic of the image is unknown, so our image restoration work is a blind deconvolution process. In our plan, we use the minimum entropy deconvolution algorithm to design be 2D image restoration filter. The MED algorithm that is excuted on time domain outperform the other method carried out on frequency domain and the process of the image restoration can compute quickly, conveniently, efficiently. At last we deomonstrated the good result by computer simulation and prove that the 2-D image restoration filter with minimum entropy deconvolution algorithm is high performance. |
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