Wolfram Language

Traitement des images et des signaux

Retouche d'images basée sur des caractéristiques sémantiques

La retouche des grandes régions manquantes d'une image peut ne pas donner des résultats réalistes si l'on se base uniquement sur les régions disponibles de la même image. À l'aide d'un ensemble représentatif d'images alignées, vous pouvez utiliser plusieurs images pour entraîner une fonction de retouche à l'aide de FeatureExtraction.

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Click for copyable input
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BaseStyle->"ImageGraphics", ImageSizeRaw->{300, 200}, PlotRange->{{0, 300}, {0, 200}}]\)}; missingparts = {\!\(\* GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzt2LFqFFEUgOG9Vpa+gr0PYGtpG/EBEozBJkIiiG/oYxlJ4zrZ9T/VbuT7 YAYGprj83BnOzOurrxefX+x2u/uXD6eLy+/v7u4uf3x49XDx8fb+y83t9af3 t9+ub67v3l79vu3nw/Fm7QAAAAAAAOA/tR6dehnPwdKqWlpVS6tqaVUtraql VSZVJlUmVSdVp1UmVSdVJlWnVSZVp1UmVadVJlWnVSZVp1UmVadVJ1WnVSZV p1UnVadVp1WnVSdVp1WnVeZ11WnVadVp1WnVadVJ1WmVeQQ7rTqtOq06rTqt Oq06rbolVqZVt8TKtBoQq9NqQKxOq4H1p1Mv5sytjVOv6IxtY+l1yJOt9HrS wVZ6bR2Npde+f8XSa59YQ2LNiDUj1oxYM2LNiDUg1oBYA2INiDUg1oBYAwat AWPpgCG++7uVWEdsYql12DaWWodpNaDVhFYTYk1oNaHVgFadjdVpNaBVp1Wn VafVgFaZfdVplZmvMh/PmR8NmR9YnVaZVJlUmVTZ0qqSKpMqk6qTqpOqk6qz r7q1deolna0nWil2wMFWem0cbaXWHq06rYa0mtNqSKshrQAAAAAAAAAAAAAA AACAZ+cX/EUTvQ== "], {{0, 200}, {300, 0}}, {0, 1}, ColorFunction->GrayLevel], BoxForm`ImageTag["Bit", ColorSpace -> Automatic, Interleaving -> None], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSizeRaw->{300, 200}, PlotRange->{{0, 300}, {0, 200}}]\), None, \!\(\* GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzt2zFqm0EUhdFfqVx6C+6zALcu0yp4ATaRTRoZpIDxDrOsSIWFYmTrXjf+ Yc6BGRiY4vH17+r+afnwbZqm7cXuWt4932w2dy8/L3eP2/X29+N69evH+s/q cbW5vt9/+7s73xcTAAAAAAAAwHws/vfV48zX4pSvHmqWTpZS64R3S6n11oep xDp2JpVYB2dLqfUqSiXWXphKrEmrQpxKrCLV6LGqVIPH0ipWpho6llaxOtXA sbTKaRX7RKphY2mV0yqnVU6rnFY5rXJa5bTKaZXTKqdVTqucVjmtClLltMpp VZAqp1VBqpxWBakKUhWkymlVkKogVUOpglQFqRpKNZSqCAUAAAAAAAAAAAAA AADADFh3C1mjTFnPTb1bSq23Pkwl1rEzqcQ6OFtKrVdRKrH2wlRiTVoV4lRi FalGj1WlGjyWVrEy1dCxtIrVqQaOpVVOq9gnUg0bS6ucVjmtclrltMppldMq p1VOq5xWOa1yWuW0ymlVkCqnVU6rglQ5rQpS5bQqSFWQqiBVTquCVAWpGkoV pCpI1VCqoVRFKAAAAAAAAGCu/gHdth8q "], {{0, 200}, {300, 0}}, {0, 1}, ColorFunction->GrayLevel], BoxForm`ImageTag["Bit", ColorSpace -> Automatic, Interleaving -> None], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSizeRaw->{300, 200}, PlotRange->{{0, 300}, {0, 200}}]\), None, None};

Les covariations des valeurs des pixels dans un ensemble d'images vous permettent de dériver des caractéristiques statistiques qui peuvent être utilisées pour prédire les régions manquantes.

Afficher l'entrée complète de Wolfram Language
In[2]:=
Click for copyable input
prepareTrueAndMissingData[dataset_, missingmasks_] := Module[{i, mask}, Table[ If[BinaryImageQ[missingmasks[[i]]], mask = missingmasks[[i]]; Flatten@ImageData@dataset[[i]]* Flatten@ImageData@ColorNegate@mask + Flatten@ImageData[mask]*Missing[] /. _Plus :> Missing[], Flatten@ImageData@dataset[[i]], ], {i, Length@dataset}] ];
In[3]:=
Click for copyable input
inpaintFromList[dataset_, masks_, n_] := Module[ {data, fe}, data = prepareTrueAndMissingData[dataset, masks]; fe = FeatureExtraction[data, "MissingImputed"]; Image[ArrayReshape[fe[data[[n]]], Reverse@ImageDimensions@dataset[[1]]]] ];

La retouche de l'image basée sur les caractéristiques est appliquée séparément à chaque canal de couleur de la troisième image.

In[4]:=
Click for copyable input
result = ColorCombine[ Table[ Image[inpaintFromList[channels, missingparts, 3], "Byte"], {channels, Transpose[ColorSeparate /@ images]}]]
Out[4]=

Mettez en surbrillance la zone retouchée.

In[5]:=
Click for copyable input
HighlightImage[result, {FaceForm[], EdgeForm[{Dashed, AbsoluteThickness[1], White}], missingparts[[3]]}, ImageSize -> Medium]
Out[5]=

Comparez l'image précédente avec le résultat d'Inpaint qui utilise seulement l'image d'entrée.

In[6]:=
Click for copyable input
HighlightImage[ Inpaint[images[[3]], missingparts[[3]]], {FaceForm[], EdgeForm[{Dashed, AbsoluteThickness[1], White}], missingparts[[3]]}, ImageSize -> Medium]
Out[6]=

Exemples connexes

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