diff --git a/base/linalg_dense.jl b/base/linalg_dense.jl
index e8a0d139f1490..48c73f90a63b5 100644
--- a/base/linalg_dense.jl
+++ b/base/linalg_dense.jl
@@ -773,7 +773,7 @@ svdt(x::Number,vecs::Bool,thin::Bool) = vecs ? (x==0?one(x):x/abs(x),abs(x),one(
 
 function svd(x::StridedMatrix,vecs,thin) 
     (u, s, vt) = svdt(x,vecs,thin)
-    return (u, s, vt.')
+    return (u, s, vt')
 end
 
 svd(A) = svd(A,true,false)
diff --git a/doc/stdlib/base.rst b/doc/stdlib/base.rst
index b6f6355e5e82c..e90c1e02a9a64 100644
--- a/doc/stdlib/base.rst
+++ b/doc/stdlib/base.rst
@@ -1721,7 +1721,7 @@ Linear algebra functions in Julia are largely implemented by calling functions f
 
 .. function:: svd(A) -> U, S, V
 
-   Compute the SVD of A, returning ``U``, ``S``, and ``V`` such that ``A = U*S*V.'``.
+   Compute the SVD of A, returning ``U``, ``S``, and ``V`` such that ``A = U*S*V'``.
 
 .. function:: svdt(A) -> U, S, Vt
 
diff --git a/extras/image.jl b/extras/image.jl
index 6d013a7ee137c..66b1909430135 100644
--- a/extras/image.jl
+++ b/extras/image.jl
@@ -710,7 +710,7 @@ function imfilter{T}(img::Matrix{T}, filter::Matrix{T}, border::String, value)
         error("wrong border treatment")
     end
     # check if separable
-    U, S, V = svd(filter)
+    U, S, V = svdt(filter)
     separable = true;
     for i = 2:length(S)
         # assumption that <10^-7 \approx 0