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authorNoel Grandin <noel.grandin@collabora.co.uk>2017-02-20 09:49:19 +0200
committerNoel Grandin <noel.grandin@collabora.co.uk>2017-02-20 09:48:33 +0000
commite9e6228533b336317aa809a7aaaa4fd1c338d4f7 (patch)
tree54848bf2e97b449ebb40638932b935b2a645a064 /vcl
parent03eb939856a73fed6bbf3850d7dc4d58594a7d98 (diff)
remove unused Box from ConvolutionKernelType enum
Change-Id: I9f8610bc9ed7d5c175c369973dc8906179ae042d Reviewed-on: https://gerrit.libreoffice.org/34456 Reviewed-by: Noel Grandin <noel.grandin@collabora.co.uk> Tested-by: Noel Grandin <noel.grandin@collabora.co.uk>
Diffstat (limited to 'vcl')
-rw-r--r--vcl/inc/BitmapScaleConvolution.hxx1
-rw-r--r--vcl/inc/ResampleKernel.hxx15
-rw-r--r--vcl/source/bitmap/BitmapScaleConvolution.cxx2
3 files changed, 0 insertions, 18 deletions
diff --git a/vcl/inc/BitmapScaleConvolution.hxx b/vcl/inc/BitmapScaleConvolution.hxx
index 0ce161d611e5..324a739c1a17 100644
--- a/vcl/inc/BitmapScaleConvolution.hxx
+++ b/vcl/inc/BitmapScaleConvolution.hxx
@@ -27,7 +27,6 @@ namespace vcl
enum class ConvolutionKernelType
{
- Box = 0,
BiLinear = 1,
BiCubic = 2,
Lanczos3 = 3,
diff --git a/vcl/inc/ResampleKernel.hxx b/vcl/inc/ResampleKernel.hxx
index 225336a48011..9088c7a3b3a7 100644
--- a/vcl/inc/ResampleKernel.hxx
+++ b/vcl/inc/ResampleKernel.hxx
@@ -109,21 +109,6 @@ private:
}
};
-class BoxKernel : public Kernel
-{
-public:
- BoxKernel() : Kernel () {}
-
-private:
- virtual double GetWidth() const override { return 0.5; }
- virtual double Calculate (double x) const override
- {
- if (-0.5 <= x && x < 0.5)
- return 1.0;
- return 0.0;
- }
-};
-
} // namespace vcl
#endif // INCLUDED_VCL_RESAMPLEKERNEL_HXX
diff --git a/vcl/source/bitmap/BitmapScaleConvolution.cxx b/vcl/source/bitmap/BitmapScaleConvolution.cxx
index 6149573953f4..dde9cb6e4d6d 100644
--- a/vcl/source/bitmap/BitmapScaleConvolution.cxx
+++ b/vcl/source/bitmap/BitmapScaleConvolution.cxx
@@ -374,8 +374,6 @@ bool BitmapScaleConvolution::filter(Bitmap& rBitmap)
switch(meKernelType)
{
- case ConvolutionKernelType::Box:
- return ImplScaleConvolution(rBitmap, mrScaleX, mrScaleY, BoxKernel());
case ConvolutionKernelType::BiLinear:
return ImplScaleConvolution(rBitmap, mrScaleX, mrScaleY, BilinearKernel());
case ConvolutionKernelType::BiCubic: