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http://dbpedia.org/ontology/abstract 非局部平均(Non-local means)是一種影像降噪的演算法,相較於局部(lo非局部平均(Non-local means)是一種影像降噪的演算法,相較於局部(local)的演算法(如高斯模糊、非等向性擴散)只使用各個目標像素附近的點來將影像平滑化來去除雜訊,非局部平均演算法則對各個目標像素周圍定義一個區塊,並且對整個影像的所有像素依照該像素周圍區塊的區塊與目標像素區塊的相似度賦予權重、進行平均,如此可以使經過處理的影像更為清晰,並且損失較少的細節。 相較於其他的影像降噪演算法,非局部平均在的方法雜訊(method noise,定義為影像及其降噪後的結果的差值)與白雜訊較為相似,而通常認為方法雜訊應與白雜訊盡可能相似,因此這是一個正向的結果。非局部平均也被延伸至其他應用如去交錯及影像內插等。可能相似,因此這是一個正向的結果。非局部平均也被延伸至其他應用如去交錯及影像內插等。 , Non-local means is an algorithm in image pNon-local means is an algorithm in image processing for image denoising. Unlike "local mean" filters, which take the mean value of a group of pixels surrounding a target pixel to smooth the image, non-local means filtering takes a mean of all pixels in the image, weighted by how similar these pixels are to the target pixel. This results in much greater post-filtering clarity, and less loss of detail in the image compared with local mean algorithms. If compared with other well-known denoising techniques, non-local means adds "method noise" (i.e. error in the denoising process) which looks more like white noise, which is desirable because it is typically less disturbing in the denoised product. Recently non-local means has been extended to other image processing applications such as deinterlacing, view interpolation, and depth maps regularization.erpolation, and depth maps regularization. , Le débruitage par morceaux (patchs) est unLe débruitage par morceaux (patchs) est une technique de débruitage d'image utilisant l'algorithme de réduction du bruit numérique appelé en Anglais "". Contrairement aux filtres habituels qui réalisent une moyenne des valeurs du groupe de pixels localisés autour d'un pixel cible afin de réduire le bruit, le filtre "non-local means" réalise une moyenne de la totalité des valeurs des pixels contenus dans l'image, pondérées en fonction de leur similarité avec le pixel cible. Le résultat d'un tel filtrage permet d’amoindrir la perte de détails au sein de l'image, comparé aux filtres réalisant des moyennes localement. Comparé aux autres méthodes usuelles de réduction de bruit comme le filtre de Gauss ou le filtre de Wiener, le bruit généré par l'algorithme "non-local means" est plus proche du bruit blanc. L'algorithme "non-local means" a récemment été étendu à d'autres domaines d'application du traitement d'images comme le désentrelacement et l'interpolation visuelle.entrelacement et l'interpolation visuelle. , In elaborazione digitale delle immagini, lIn elaborazione digitale delle immagini, la media non locale (in lingua inglese: non-local means) è un operatore non locale di riduzione del rumore. A differenza di operatori locali come il filtro Gaussiano, che determinano il valore di un pixel in base all'intensità media dell'immagine in un intorno del pixel stesso, la media non locale utilizza una media dell'intera immagine, pesata in ogni punto in base alla similarità con il pixel in esame. Rispetto ad un filtro di media locale, la media non locale produce generalmente migliori risultati e minore perdita di dettaglio. Rispetto ad altre tecniche di riduzione del rumore, la media non locale introduce un errore algoritmico simile a rumore bianco. Oltre che in riduzione del rumore, l'algoritmo ha applicazioni in deinterlacciamento, interpolazione di viste multiple, e regolarizzazione di mappe di profondità.e regolarizzazione di mappe di profondità.
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rdfs:comment 非局部平均(Non-local means)是一種影像降噪的演算法,相較於局部(lo非局部平均(Non-local means)是一種影像降噪的演算法,相較於局部(local)的演算法(如高斯模糊、非等向性擴散)只使用各個目標像素附近的點來將影像平滑化來去除雜訊,非局部平均演算法則對各個目標像素周圍定義一個區塊,並且對整個影像的所有像素依照該像素周圍區塊的區塊與目標像素區塊的相似度賦予權重、進行平均,如此可以使經過處理的影像更為清晰,並且損失較少的細節。 相較於其他的影像降噪演算法,非局部平均在的方法雜訊(method noise,定義為影像及其降噪後的結果的差值)與白雜訊較為相似,而通常認為方法雜訊應與白雜訊盡可能相似,因此這是一個正向的結果。非局部平均也被延伸至其他應用如去交錯及影像內插等。可能相似,因此這是一個正向的結果。非局部平均也被延伸至其他應用如去交錯及影像內插等。 , Non-local means is an algorithm in image pNon-local means is an algorithm in image processing for image denoising. Unlike "local mean" filters, which take the mean value of a group of pixels surrounding a target pixel to smooth the image, non-local means filtering takes a mean of all pixels in the image, weighted by how similar these pixels are to the target pixel. This results in much greater post-filtering clarity, and less loss of detail in the image compared with local mean algorithms.image compared with local mean algorithms. , In elaborazione digitale delle immagini, lIn elaborazione digitale delle immagini, la media non locale (in lingua inglese: non-local means) è un operatore non locale di riduzione del rumore. A differenza di operatori locali come il filtro Gaussiano, che determinano il valore di un pixel in base all'intensità media dell'immagine in un intorno del pixel stesso, la media non locale utilizza una media dell'intera immagine, pesata in ogni punto in base alla similarità con il pixel in esame.ase alla similarità con il pixel in esame. , Le débruitage par morceaux (patchs) est unLe débruitage par morceaux (patchs) est une technique de débruitage d'image utilisant l'algorithme de réduction du bruit numérique appelé en Anglais "". Contrairement aux filtres habituels qui réalisent une moyenne des valeurs du groupe de pixels localisés autour d'un pixel cible afin de réduire le bruit, le filtre "non-local means" réalise une moyenne de la totalité des valeurs des pixels contenus dans l'image, pondérées en fonction de leur similarité avec le pixel cible. Le résultat d'un tel filtrage permet d’amoindrir la perte de détails au sein de l'image, comparé aux filtres réalisant des moyennes localement.filtres réalisant des moyennes localement.
rdfs:label Media non locale , Non-local means , Débruitage par patchs , 非局部平均
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