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#include "test_precomp.hpp"

using namespace cv;
using namespace std;

TEST(MultiBandBlender, CanBlendTwoImages)
{    
    Mat image1 = imread(string(cvtest::TS::ptr()->get_data_path()) + "cv/shared/baboon.jpg");
    Mat image2 = imread(string(cvtest::TS::ptr()->get_data_path()) + "cv/shared/lena.jpg");
    EXPECT_EQ(image1.rows, image2.rows); EXPECT_EQ(image1.cols, image2.cols);

    Mat image1s, image2s;
    image1.convertTo(image1s, CV_16S);
    image2.convertTo(image2s, CV_16S);

    Mat mask1(image1s.size(), CV_8U);
    mask1(Rect(0, 0, mask1.cols/2, mask1.rows)).setTo(255);
    mask1(Rect(mask1.cols/2, 0, mask1.cols - mask1.cols/2, mask1.rows)).setTo(0);

    Mat mask2(image2s.size(), CV_8U);
    mask2(Rect(0, 0, mask2.cols/2, mask2.rows)).setTo(0);
    mask2(Rect(mask2.cols/2, 0, mask2.cols - mask2.cols/2, mask2.rows)).setTo(255);

    detail::MultiBandBlender blender(false, 5);

    blender.prepare(Rect(0, 0, max(image1s.cols, image2s.cols), max(image1s.rows, image2s.rows)));
    blender.feed(image1s, mask1, Point(0,0));
    blender.feed(image2s, mask2, Point(0,0));

    Mat result_s, result_mask;
    blender.blend(result_s, result_mask);
    Mat result; result_s.convertTo(result, CV_8U);

    Mat expected = imread(string(cvtest::TS::ptr()->get_data_path()) + "stitching/baboon_lena.png");
    double error = norm(expected, result, NORM_L2) / expected.size().area();
    ASSERT_LT(error, 1e-3);
}