[Olena-patches] olena-2.0-43-g39bb980 Add: TV L2 norm metric.

--- milena/mln/inpainting/derivative_kernels.hh | 41 +++++++++++++++++++ milena/mln/inpainting/metric/tv_l2_norm.hh | 57 +++++++++++++++++++++++++++ milena/mln/inpainting/tv.hh | 35 ++-------------- 3 files changed, 102 insertions(+), 31 deletions(-) create mode 100644 milena/mln/inpainting/metric/tv_l2_norm.hh diff --git a/milena/mln/inpainting/derivative_kernels.hh b/milena/mln/inpainting/derivative_kernels.hh index 04e1535..3e7bf63 100644 --- a/milena/mln/inpainting/derivative_kernels.hh +++ b/milena/mln/inpainting/derivative_kernels.hh @@ -1,6 +1,11 @@ #ifndef DERIVATIVE_KERNELS_HH_ # define DERIVATIVE_KERNELS_HH_ +#include <mln/core/alias/window2d.hh> +#include <mln/core/concept/iterator.hh> +#include <mln/convert/from_to.hh> +#include <mln/literal/zero.hh> + namespace mln { namespace inpainting @@ -97,7 +102,43 @@ namespace mln return ws; } + + namespace internal + { + template <typename I> + void convolve(const I& src, + I& ima, + const float* kernel) + { + static window2d full3x3; + static const bool vals[] = { 1, 1, 1, + 1, 1, 1, + 1, 1, 1 }; + + convert::from_to(vals, full3x3); + + mln_pixter(I) o(ima); + mln_pixter(const I) p(src); + mln_qixter(const I, const window2d) q(p, full3x3); + + for_all_2 (p, o) + { + mln_value(I) accu = literal::zero; + + unsigned k = 0; + for_all (q) + { + accu += q.val() * kernel[k]; + ++k; + } + + o.val() = accu; + } + } + + } } } + #endif diff --git a/milena/mln/inpainting/metric/tv_l2_norm.hh b/milena/mln/inpainting/metric/tv_l2_norm.hh new file mode 100644 index 0000000..17df267 --- /dev/null +++ b/milena/mln/inpainting/metric/tv_l2_norm.hh @@ -0,0 +1,57 @@ +#ifndef TV_L2_NORM_HH_ +# define TV_L2_NORM_HH_ + +# include <mln/core/concept/image.hh> +# include <mln/trait/value_.hh> +# include <mln/algebra/vec.hh> + +# include <mln/inpainting/derivative_kernels.hh> + +namespace mln +{ + namespace inpainting + { + namespace metric + { + template <typename I, typename M> + double tv_l2_norm(const Image<I>& ima_, + const Image<M>& mask_) + { + I dx; + I dy; + + const I& ima = exact(ima_); + + initialize(dx, ima); + initialize(dy, ima); + + internal::convolve(ima, dx, make_dx_kernel<float>()); + internal::convolve(ima, dy, make_dy_kernel<float>()); + + mln_piter(I) p( dx.domain() ); + + double sum = 0; + + const M& mask = exact(mask_); + + for_all(p) + { + if (mask(p)) + { + for (unsigned i = 0; i < mln_dim(mln_value(I)); ++i) + { + const float& a = dx(p)[i]; + const float& b = dy(p)[i]; + + sum += std::sqrt(a * a + b * b); + } + } + } + + return sum; + } + } + } +} + +#endif diff --git a/milena/mln/inpainting/tv.hh b/milena/mln/inpainting/tv.hh index 3b38270..8c8066b 100644 --- a/milena/mln/inpainting/tv.hh +++ b/milena/mln/inpainting/tv.hh @@ -7,6 +7,7 @@ #include <mln/convert/from_to.hh> #include <mln/norm/l1.hh> #include <mln/norm/l2.hh> +#include <mln/inpainting/metric/tv_l2_norm.hh> #include <mln/inpainting/derivative_kernels.hh> #include <mln/extension/adjust_duplicate.hh> @@ -78,37 +79,6 @@ namespace mln } } - template <typename I> - void convolve(const I& src, - I& ima, - const float* kernel) - { - static window2d full3x3; - static const bool vals[] = { 1, 1, 1, - 1, 1, 1, - 1, 1, 1 }; - - convert::from_to(vals, full3x3); - - mln_pixter(I) o(ima); - mln_pixter(const I) p(src); - mln_qixter(const I, const window2d) q(p, full3x3); - - for_all_2 (p, o) - { - mln_value(I) accu = literal::zero; - - unsigned k = 0; - for_all (q) - { - accu += q.val() * kernel[k]; - ++k; - } - - o.val() = accu; - } - } - // debug template <typename I, typename M> void print_first_value(const I& src, const M& mask) @@ -233,6 +203,9 @@ namespace mln data::paste(u, old); + std::cout << iterations << "\t" + << metric::tv_l2_norm(u, mask) << std::endl; + ++iterations; } -- 1.7.2.5