抑制數(shù)字圖象中乘性噪聲的方法
THE METHODS FOR REDUCING THE MULTIPLYING NOISE IN THE DIGITAL IMAGES
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摘要: 本文通過(guò)研究數(shù)字圖象中乘性噪聲的特點(diǎn),提出了以加權(quán)相加為主的一些抑制方法。文中用典型的乘性噪聲模型對(duì)理論進(jìn)行了詳細(xì)分析,并采用真實(shí)的數(shù)據(jù)進(jìn)行了實(shí)驗(yàn)驗(yàn)證。結(jié)果表明:這些方法在處理圖象噪聲方面,比傳統(tǒng)的辦法更優(yōu)越。
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關(guān)鍵詞:
- 數(shù)字圖象處理; 乘性噪聲; 等效信噪比; 加權(quán)
Abstract: Some new methods for reducing the multiplying noise in the digital images, which are mainly the one of weighting and adding methods, are proposed, after that the characteristics of the noise is studied. The theory is analysed with the common model of multiplying noise and proved by the experiments with real data. It is clear that these methods have more ad-Tantages than traditional ones in processing digital images. -
J. W. Goodman, J. Opt. Soc. Am, 66(1976) 11, 1305-1311.[2]Jong-sen Lee, IEEE Trans. on SMC, SMC-13 (1983)1,85-88.[3]A. V.奧本海姆, 數(shù)字信號(hào)處理, 科學(xué)出版社, 北京, 1980年, 第十一章.[4]M. Langeman, SAR-Image Speckle Suppression and Data Compression Algorithms, ESA Final[5]report, NLR TR 85085, (1984), pp. 15-18.[6]中山大學(xué),概率論及數(shù)理統(tǒng)計(jì),人民教育出版社,北京,1980年,pp139-145. -
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