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   "source": [
    "## InterpolateView Op"
   ]
  },
  {
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   "execution_count": 1,
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    {
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     "text": [
      "Added new repo: scijava.public\n"
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      "text/plain": [
       "net.imagej.ImageJ@7b00c550"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "//load ImageJ\n",
    "%classpath config resolver scijava.public https://maven.scijava.org/content/groups/public\n",
    "%classpath add mvn net.imagej imagej 2.0.0-rc-67\n",
    "\n",
    "//create ImageJ object\n",
    "ij = new net.imagej.ImageJ()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This `Op` wraps the `Views.interpolate()` method of ImgLib2, [interpolating](https://en.wikipedia.org/wiki/Interpolation) any image type into a `RealRandomAccessible`. This allows a `RealRandomAccess` to be created on the `RealRandomAccessible`, allowing decimal pixels to be interrogated. Let's see how the `Op` is called:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Available operations:\n",
       "\t(RealRandomAccessible out) =\n",
       "\tnet.imagej.ops.transform.interpolateView.DefaultInterpolateView(\n",
       "\t\tEuclideanSpace in,\n",
       "\t\tInterpolatorFactory factory)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ij.op().help('interpolateView')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are two parameters to `interpolate`:\n",
    "* `EuclideanSpace in`: [`EuclideanSpace`](http://javadoc.scijava.org/ImgLib2/net/imglib2/EuclideanSpace.html) is a low-level interface that all image types implement. Any image can be passed in as an argument here.\n",
    "* `InterpolatorFactory factory`: The [`InterpolatorFactory`](http://javadoc.scijava.org/ImgLib2/index.html?net/imglib2/interpolation/InterpolatorFactory.html) tells `interpolateView()` how to create the subpixel data. As listed in the Javadoc there are many different varieties of `InterpolatorFactory`, such as [nearest neighbor](https://en.wikipedia.org/wiki/Nearest-neighbor_interpolation), [lanzcos resampling](https://en.wikipedia.org/wiki/Lanczos_resampling), and [N-Linear](https://en.wikipedia.org/wiki/Linear_interpolation).\n",
    "\n",
    "Let's get a really small image and interpolate it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO] Verifying GIF format\n",
      "[INFO] Reading dimensions\n",
      "[INFO] Reading data blocks\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAAnklEQVR42u2WXQrAIAyD48k9mkfbmFAoA39qqx2sQh4ln9hEcRkuAFWiPdYApZQACAAfAEpAzrkqAP4F8Bi6AZChGwCZugBw0+MAZOpyBdz8eAr4aV3+Az0Td4ClQV4FsIJQAXDR8L01ep6hyf9IM2mAtoS0V2HShAHwGYDZwdsKIIUwTcFKMkQArbLpyaSIUkqi9pNAwKr1Ro3YmosbRJ9MlGVXVHcAAAAASUVORK5CYII="
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import net.imglib2.interpolation.randomaccess.NearestNeighborInterpolatorFactory\n",
    "import net.imglib2.interpolation.randomaccess.NLinearInterpolatorFactory\n",
    "import net.imglib2.interpolation.randomaccess.LanczosInterpolatorFactory\n",
    "\n",
    "scaleFactors = [4, 4, 1] // Enlarge X and Y by 4x; leave channel count the same.\n",
    "\n",
    "input = ij.scifio().datasetIO().open(\"http://imagej.net/images/ij-icon.gif\")\n",
    "\n",
    "interpolated= ij.op().run(\"interpolateView\", input, new NLinearInterpolatorFactory())\n",
    "\n",
    "ij.notebook().display(input)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that we cannot display the interpolated image since it is a `RealRandomAccessible`. However we can interrogate the image for values at decimal pixel values:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "168.0\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "null"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "access = interpolated.realRandomAccess()\n",
    "\n",
    "//coordinates to interrogate\n",
    "x = 16.6 as double\n",
    "y = 10.2 as double\n",
    "\n",
    "//set the randomAccess to x in the first dimension and y in the second\n",
    "access.setPosition(x, 0)\n",
    "access.setPosition(y, 1)\n",
    "\n",
    "println(access.get().getRealDouble())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you want to be able to get a `RandomAccessible` from your `RealRandomAccessible`, check out [`rasterView`](rasterView.ipynb)"
   ]
  }
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