diff --git a/src/imfilter.jl b/src/imfilter.jl
index 403bc86..0ef4850 100644
--- a/src/imfilter.jl
+++ b/src/imfilter.jl
@@ -858,7 +858,7 @@ function buffered_planned_irfft(a::AbstractArray{T}) where {T}
 end
 
 function planned_fft(A::AbstractArray{T,N},
-            kernel::Tuple{AbstractArray,Vararg{AbstractArray}},
+            kernel::ProcessedKernel,
             border::BorderSpecAny=Pad(:replicate)
             ) where {T,N}
     bord = border(kernel, A, Algorithm.FFT())
@@ -870,6 +870,8 @@ function planned_fft(A::AbstractArray{T,N},
     bfp3 = buffered_planned_irfft(_A)
     return Algorithm.FFT(bfp1, bfp2, bfp3)
 end
+planned_fft(A::AbstractArray, kernel, border::AbstractString) = planned_fft(A, kernel, borderinstance(border))
+planned_fft(A::AbstractArray, kernel::Union{ArrayLike,Laplacian}, border::BorderSpecAny) = planned_fft(A, factorkernel(kernel), border)
 
 function filtfft(A, krn, planned_rfft1::Function, planned_rfft2::Function, planned_irfft::Function)
     B = complex(planned_rfft1(A))
diff --git a/test/2d.jl b/test/2d.jl
index e9db4c0..e9000dc 100644
--- a/test/2d.jl
+++ b/test/2d.jl
@@ -50,6 +50,7 @@ end
     # Dense inseparable kernel
     kern = [0.1 0.2; 0.4 0.5]
     kernel = OffsetArray(kern, -1:0, 1:2)
+    border = Inner()
     for img in (imgf, imgi, imgg, imgc)
         targetimg = zeros(typeof(img[1]*kern[1]), size(img))
         targetimg[3:4,2:3] = rot180(kern) .* img[3,4]
@@ -76,12 +77,12 @@ end
             @test_throws MethodError imfilter!(CPU1(Algorithm.FIR()), ret, img, kernel, border, Algorithm.FFT())
         end
         targetimg_inner = OffsetArray(targetimg[2:end, 1:end-2], 2:5, 1:5)
-        @test @inferred(imfilter(img, kernel, Inner())) ≈ targetimg_inner
-        @test @inferred(imfilter(f32type(img), img, kernel, Inner())) ≈ float32.(targetimg_inner)
+        @test @inferred(imfilter(img, kernel, border)) ≈ targetimg_inner
+        @test @inferred(imfilter(f32type(img), img, kernel, border)) ≈ float32.(targetimg_inner)
         for alg in (Algorithm.FIR(), Algorithm.FIRTiled(), Algorithm.FFT(), planned_fft(img, kernel, border))
-            @test @inferred(imfilter(img, kernel, Inner(), alg)) ≈ targetimg_inner
-            @test @inferred(imfilter(f32type(img), img, kernel, Inner(), alg)) ≈ float32.(targetimg_inner)
-            @test @inferred(imfilter(CPU1(alg), img, kernel, Inner())) ≈ targetimg_inner
+            @test @inferred(imfilter(img, kernel, border, alg)) ≈ targetimg_inner
+            @test @inferred(imfilter(f32type(img), img, kernel, border, alg)) ≈ float32.(targetimg_inner)
+            @test @inferred(imfilter(CPU1(alg), img, kernel, border)) ≈ targetimg_inner
         end
     end
     # Factored kernel
diff --git a/test/nd.jl b/test/nd.jl
index de29ece..d6fb0a7 100644
--- a/test/nd.jl
+++ b/test/nd.jl
@@ -129,7 +129,8 @@ end
     img = trues(10,10,10)
     kernel = centered(trues(3,3,3)/27)
     for border in ("replicate", "circular", "symmetric", "reflect", Fill(true))
-        for alg in (Algorithm.FIR(), Algorithm.FIRTiled(), Algorithm.FFT(), planned_fft(img, kernel, border))
+        # TODO: add support for boolean images in planned_fft
+        for alg in (Algorithm.FIR(), Algorithm.FIRTiled(), Algorithm.FFT())
             @test imfilter(img, kernel, border) ≈ img
         end
     end
diff --git a/test/runtests.jl b/test/runtests.jl
index 2b9c343..955179d 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -6,6 +6,12 @@ using ImageQualityIndexes
 import StaticArrays
 using Random
 
+function typestring(::Type{T}) where T   # from https://github.com/JuliaImages/ImageCore.jl/pull/133
+    buf = IOBuffer()
+    show(buf, T)
+    String(take!(buf))
+end
+
 @testset "ImageFiltering" verbose=true begin
 @testset "Project meta quality checks" begin
     # Ambiguity test
@@ -27,12 +33,6 @@ using Random
     end
 end
 
-function typestring(::Type{T}) where T   # from https://github.com/JuliaImages/ImageCore.jl/pull/133
-    buf = IOBuffer()
-    show(buf, T)
-    String(take!(buf))
-end
-
 include("compat.jl")
 include("border.jl")
 include("nd.jl")
@@ -50,7 +50,6 @@ include("models.jl")
 
 CUDA_INSTALLED = false
 try
-    global CUDA_INSTALLED
     # This errors with `IOError` when nvidia driver is not available,
     # in which case we don't even need to try `using CUDA`
     run(pipeline(`nvidia-smi`, stdout=devnull, stderr=devnull))