Restauración de imágenes con base en atributos
La restauración de grandes regiones faltantes de una imagen puede que no genere resultados realistas, especialmente si contamos sólo con las regiones disponibles de la misma imagen. Por medio del uso de un conjunto de datos representativo de imágenes alineadas, usted puede utilizar varias imágenes para entrenar a una función de restauración usando FeatureExtraction.
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+X58NucD/kPVR4OPXZ/8Pj2YS5+b+w0AsgC3
"], "RGB", "XYZ"],
Interleaving -> True, MetaInformation -> {}],
Selectable->False],
BaseStyle->"ImageGraphics",
ImageSizeRaw->{300, 200},
PlotRange->{{0, 300}, {0, 200}}]\)};
missingparts = {\!\(\*
GraphicsBox[
TagBox[RasterBox[CompressedData["
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AWPpgCG++7uVWEdsYql12DaWWodpNaDVhFYTYk1oNaHVgFadjdVpNaBVp1Wn
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AACAZ+cX/EUTvQ==
"], {{0, 200}, {300, 0}}, {0, 1},
ColorFunction->GrayLevel],
BoxForm`ImageTag["Bit", ColorSpace -> Automatic, Interleaving -> None],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSizeRaw->{300, 200},
PlotRange->{{0, 300}, {0, 200}}]\), None, \!\(\*
GraphicsBox[
TagBox[RasterBox[CompressedData["
1:eJzt2zFqm0EUhdFfqVx6C+6zALcu0yp4ATaRTRoZpIDxDrOsSIWFYmTrXjf+
Yc6BGRiY4vH17+r+afnwbZqm7cXuWt4932w2dy8/L3eP2/X29+N69evH+s/q
cbW5vt9/+7s73xcTAAAAAAAAwHws/vfV48zX4pSvHmqWTpZS64R3S6n11oep
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sbTKaRX7RKphY2mV0yqnVU6rnFY5rXJa5bTKaZXTKqdVTqucVjmtClLltMpp
VZAqp1VBqpxWBakKUhWkymlVkKogVUOpglQFqRpKNZSqCAUAAAAAAAAAAAAA
AADADFh3C1mjTFnPTb1bSq23Pkwl1rEzqcQ6OFtKrVdRKrH2wlRiTVoV4lRi
FalGj1WlGjyWVrEy1dCxtIrVqQaOpVVOq9gnUg0bS6ucVjmtclrltMppldMq
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"], {{0, 200}, {300, 0}}, {0, 1},
ColorFunction->GrayLevel],
BoxForm`ImageTag["Bit", ColorSpace -> Automatic, Interleaving -> None],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSizeRaw->{300, 200},
PlotRange->{{0, 300}, {0, 200}}]\), None, None};
Las variaciones de los valores de píxeles en un conjunto de datos de imágenes, le permite derivar atributos estadísticos que puede utilizar para predecir las regiones faltantes.
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 restauración basada en atributos se aplica de forma separada a cada canal de color de la tercera imagen.
result = ColorCombine[
Table[
Image[inpaintFromList[channels, missingparts, 3],
"Byte"], {channels, Transpose[ColorSeparate /@ images]}]]
Resalte el área restaurada.
HighlightImage[result, {FaceForm[],
EdgeForm[{Dashed, AbsoluteThickness[1], White}], missingparts[[3]]},
ImageSize -> Medium]
Compare el resultado anterior con el resultado de Inpaint, el cual utiliza solamente la imagen de entrada.
HighlightImage[
Inpaint[images[[3]], missingparts[[3]]], {FaceForm[],
EdgeForm[{Dashed, AbsoluteThickness[1], White}], missingparts[[3]]},
ImageSize -> Medium]