Obtain reference tiles

src/merge.cpp

@@ -376,19 +376,28 @@ std::pair<double, double> merge::getNoiseParams( int ISO, \
                                           int white_level, \
                                           double black_level ) 
 {
-    // Set ISO to 100 if not positive
-    ISO = ISO <= 0 ? 100 : ISO;
+    double lambda_shot, lambda_read;
+    std::tie(lambda_shot, lambda_read) = burst_images.bayer_images[burst_images.reference_image_idx].get_noise_params();
+
+    // Obtain tiles
+    std::vector<cv::Mat> reference_tiles;
+    cv::Mat reference_image = burst_images.grayscale_images_pad[0];
+    std::cout << reference_image.rows << " " << reference_image.cols << std::endl;
+    for (int y = 0; y < reference_image.rows - 8; y += 8) {
+        for (int x = 0; x < reference_image.cols - 8; x += 8) {
+            cv::Mat tile = reference_image(cv::Rect(x, y, 16, 16));
+            reference_tiles.push_back(tile);
+        }
+    }
 
-    // Calculate shot noise and read noise parameters w.r.t ISO 100
-    double lambda_shot_p = ISO / 100.0f * baseline_lambda_shot;
-	double lambda_read_p = (ISO / 100.0f) * (ISO / 100.0f) * baseline_lambda_read;
     
-    // Rescale shot and read noise to normal range
-    double lambda_shot = lambda_shot_p * (white_level - black_level);
-    double lambda_read = lambda_read_p * (white_level - black_level) * (white_level - black_level);
 
-    // return pair
-    return std::make_pair(lambda_shot, lambda_read);
+    // cv::Mat outputImg = reference_image.clone();
+    // cv::cvtColor(outputImg, outputImg, cv::COLOR_GRAY2RGB);
+    // cv::imwrite("ref.jpg", outputImg);
+    // cv::Mat outputImg1 = reference_tiles[0].clone();
+    // cv::cvtColor(outputImg1, outputImg1, cv::COLOR_GRAY2RGB);
+    // cv::imwrite("tile0.jpg", outputImg1);
 }
 
 } // namespace hdrplus