diff --git a/community/vigra/PKGBUILD b/community/vigra/PKGBUILD
index 505a97fde..535bb5272 100644
--- a/community/vigra/PKGBUILD
+++ b/community/vigra/PKGBUILD
@@ -9,21 +9,26 @@
 pkgbase=vigra
 pkgname=('vigra' 'vigra-doc')
 pkgver=1.11.1
-pkgrel=6
+pkgrel=8
 pkgdesc="Computer vision library"
 arch=('x86_64')
 url="https://ukoethe.github.io/vigra/"
 license=('custom:MIT')
 makedepends=(# runtime deps
              'libpng' 'libtiff' 'openexr' 'gcc-libs' 'sh' 'hdf5' 'fftw'
-	         # additional makedeps
+             # additional makedeps
              'cmake' 'boost' 'python-numpy')
 checkdepends=('python-nose')
-source=("https://github.com/ukoethe/vigra/releases/download/Version-${pkgver//./-}/vigra-${pkgver}-src.tar.gz")
-sha256sums=('a5564e1083f6af6a885431c1ee718bad77d11f117198b277557f8558fa461aaf')
+source=("https://github.com/ukoethe/vigra/releases/download/Version-${pkgver//./-}/vigra-${pkgver}-src.tar.gz"
+        'fix-incorrect-template-parameter-type.patch')
+sha256sums=('a5564e1083f6af6a885431c1ee718bad77d11f117198b277557f8558fa461aaf'
+            'f151f902483dfa2b1f3d431f54bb161300cf184158c9f416fa653d19ab363cc4')
 
 prepare() {
   mkdir -p build
+  cd ${pkgbase}-${pkgver}
+  # https://github.com/ukoethe/vigra/issues/414
+  patch -Np1 -i ../fix-incorrect-template-parameter-type.patch
 }
 
 build() {
diff --git a/community/vigra/fix-incorrect-template-parameter-type.patch b/community/vigra/fix-incorrect-template-parameter-type.patch
new file mode 100644
index 000000000..88ed61ee3
--- /dev/null
+++ b/community/vigra/fix-incorrect-template-parameter-type.patch
@@ -0,0 +1,139 @@
+From 81958d302494e137f98a8b1d7869841532f90388 Mon Sep 17 00:00:00 2001
+From: JaimeIvanCervantes <jimmycc80@hotmail.com>
+Date: Fri, 16 Jun 2017 13:21:45 -0700
+Subject: [PATCH] multi_convolution: Fix for incorrect template parameter type
+ when using unsigned int N for TinyVector SIZE. (Fixes #414)
+
+---
+ include/vigra/multi_convolution.hxx | 28 ++++++++++++++--------------
+ 1 file changed, 14 insertions(+), 14 deletions(-)
+
+diff --git a/include/vigra/multi_convolution.hxx b/include/vigra/multi_convolution.hxx
+index 1b5efa740..ec89bcf58 100644
+--- a/include/vigra/multi_convolution.hxx
++++ b/include/vigra/multi_convolution.hxx
+@@ -1426,7 +1426,7 @@ gaussianSmoothMultiArray(MultiArrayView<N, T1, S1> const & source,
+                   class T2, class S2>
+         void
+         gaussianGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
+-                                   MultiArrayView<N, TinyVector<T2, N>, S2> dest,
++                                   MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
+                                    double sigma,
+                                    ConvolutionOptions<N> opt = ConvolutionOptions<N>());
+ 
+@@ -1435,7 +1435,7 @@ gaussianSmoothMultiArray(MultiArrayView<N, T1, S1> const & source,
+                                   class T2, class S2>
+         void
+         gaussianGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
+-                                   MultiArrayView<N, TinyVector<T2, N>, S2> dest,
++                                   MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
+                                    ConvolutionOptions<N> opt);
+ 
+         // likewise, but execute algorithm in parallel
+@@ -1443,7 +1443,7 @@ gaussianSmoothMultiArray(MultiArrayView<N, T1, S1> const & source,
+                                   class T2, class S2>
+         void
+         gaussianGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
+-                                   MultiArrayView<N, TinyVector<T2, N>, S2> dest,
++                                   MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
+                                    BlockwiseConvolutionOptions<N> opt);
+     }
+     \endcode
+@@ -1590,7 +1590,7 @@ template <unsigned int N, class T1, class S1,
+                           class T2, class S2>
+ inline void
+ gaussianGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
+-                           MultiArrayView<N, TinyVector<T2, N>, S2> dest,
++                           MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
+                            ConvolutionOptions<N> opt )
+ {
+     if(opt.to_point != typename MultiArrayShape<N>::type())
+@@ -1614,7 +1614,7 @@ template <unsigned int N, class T1, class S1,
+           class T2, class S2>
+ inline void
+ gaussianGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
+-                           MultiArrayView<N, TinyVector<T2, N>, S2> dest,
++                           MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
+                            double sigma,
+                            ConvolutionOptions<N> opt = ConvolutionOptions<N>())
+ {
+@@ -1653,7 +1653,7 @@ gaussianGradientMagnitudeImpl(MultiArrayView<N+1, T1, S1> const & src,
+     dest.init(0.0);
+ 
+     typedef typename NumericTraits<T1>::RealPromote TmpType;
+-    MultiArray<N, TinyVector<TmpType, N> > grad(dest.shape());
++    MultiArray<N, TinyVector<TmpType, int(N)> > grad(dest.shape());
+ 
+     using namespace multi_math;
+ 
+@@ -1771,7 +1771,7 @@ gaussianGradientMagnitude(MultiArrayView<N+1, Multiband<T1>, S1> const & src,
+                                   class T2, class S2>
+         void
+         symmetricGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
+-                                    MultiArrayView<N, TinyVector<T2, N>, S2> dest,
++                                    MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
+                                     ConvolutionOptions<N> opt = ConvolutionOptions<N>());
+ 
+         // execute algorithm in parallel
+@@ -1779,7 +1779,7 @@ gaussianGradientMagnitude(MultiArrayView<N+1, Multiband<T1>, S1> const & src,
+                                   class T2, class S2>
+         void
+         symmetricGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
+-                                    MultiArrayView<N, TinyVector<T2, N>, S2> dest,
++                                    MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
+                                     BlockwiseConvolutionOptions<N> opt);
+     }
+     \endcode
+@@ -1895,7 +1895,7 @@ template <unsigned int N, class T1, class S1,
+                           class T2, class S2>
+ inline void
+ symmetricGradientMultiArray(MultiArrayView<N, T1, S1> const & source,
+-                            MultiArrayView<N, TinyVector<T2, N>, S2> dest,
++                            MultiArrayView<N, TinyVector<T2, int(N)>, S2> dest,
+                             ConvolutionOptions<N> opt = ConvolutionOptions<N>())
+ {
+     if(opt.to_point != typename MultiArrayShape<N>::type())
+@@ -2214,14 +2214,14 @@ laplacianOfGaussianMultiArray(MultiArrayView<N, T1, S1> const & source,
+         template <unsigned int N, class T1, class S1,
+                                   class T2, class S2>
+         void
+-        gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & vectorField,
++        gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, int(N)>, S1> const & vectorField,
+                                      MultiArrayView<N, T2, S2> divergence,
+                                      ConvolutionOptions<N> const & opt);
+ 
+         template <unsigned int N, class T1, class S1,
+                                   class T2, class S2>
+         void
+-        gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & vectorField,
++        gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, int(N)>, S1> const & vectorField,
+                                      MultiArrayView<N, T2, S2> divergence,
+                                      double sigma,
+                                      ConvolutionOptions<N> opt = ConvolutionOptions<N>());
+@@ -2231,7 +2231,7 @@ laplacianOfGaussianMultiArray(MultiArrayView<N, T1, S1> const & source,
+         template <unsigned int N, class T1, class S1,
+                                   class T2, class S2>
+         void
+-        gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & vectorField,
++        gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, int(N)>, S1> const & vectorField,
+                                      MultiArrayView<N, T2, S2> divergence,
+                                      BlockwiseConvolutionOptions<N> const & opt);
+     }
+@@ -2324,7 +2324,7 @@ gaussianDivergenceMultiArray(Iterator vectorField, Iterator vectorFieldEnd,
+ template <unsigned int N, class T1, class S1,
+                           class T2, class S2>
+ inline void
+-gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & vectorField,
++gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, int(N)>, S1> const & vectorField,
+                              MultiArrayView<N, T2, S2> divergence,
+                              ConvolutionOptions<N> const & opt)
+ {
+@@ -2338,7 +2338,7 @@ gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & ve
+ template <unsigned int N, class T1, class S1,
+                           class T2, class S2>
+ inline void
+-gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, N>, S1> const & vectorField,
++gaussianDivergenceMultiArray(MultiArrayView<N, TinyVector<T1, int(N)>, S1> const & vectorField,
+                              MultiArrayView<N, T2, S2> divergence,
+                              double sigma,
+                              ConvolutionOptions<N> opt = ConvolutionOptions<N>())