Added code in progress for temporal and spatial denoising

I added some of my code for temporal and spatial denoising, but I commented it out since it still is incomplete since I need to find a way to allow for multiple image channels. I created a helper function which we could use to return the channels. I also edited the merge.h file to include the signature of the helper function.

src/merge.cpp

@@ -397,10 +397,11 @@ std::pair<double, double> merge::getNoiseParams( int ISO, \
                 } else {
                     channels[1].push_back(reference_image.at<ushort>(y, x));
                 }
-            } else {
+                else {
                     if (x % 2 == 0) {
                         channels[2].push_back(reference_image.at<ushort>(y, x));
-                } else {
+                    }
+                    else {
                         channels[3].push_back(reference_image.at<ushort>(y, x));
                     }
                 }
@@ -414,6 +415,10 @@ std::pair<double, double> merge::getNoiseParams( int ISO, \
             // cv::imwrite("ref" + std::to_string(i) + ".jpg", channel_i);
 
             // Apply merging on the channel
+            
+            //we should be getting the individual channel in the same place where we call the processChannel function with the reference channel in its arguments
+            //possibly we could add another argument in the processChannel function which is the channel_i for the alternate image. maybe using a loop to cover all the other images
+
             cv::Mat merged_channel = processChannel(burst_images, alignments, channel_i, lambda_shot, lambda_read);
             // cv::imwrite("merged" + std::to_string(i) + ".jpg", merged_channel);
 
@@ -429,13 +434,16 @@ std::pair<double, double> merge::getNoiseParams( int ISO, \
                 if (y % 2 == 0) {
                     if (x % 2 == 0) {
                         merged_raw.push_back(channels[0][(y / 2) * (reference_image.cols / 2) + (x / 2)]);
-                } else {
+                    }
+                    else {
                         merged_raw.push_back(channels[1][(y / 2) * (reference_image.cols / 2) + (x / 2)]);
                     }
-            } else {
+                }
+                else {
                     if (x % 2 == 0) {
                         merged_raw.push_back(channels[2][(y / 2) * (reference_image.cols / 2) + (x / 2)]);
-                } else {
+                    }
+                    else {
                         merged_raw.push_back(channels[3][(y / 2) * (reference_image.cols / 2) + (x / 2)]);
                     }
                 }
@@ -539,6 +547,56 @@ cv::Mat merge::processChannel( hdrplus::burst& burst_images, \
 
         // TODO: 4.2 Temporal Denoising
         
+        //goal: temporially denoise using the weiner filter
+        //input:
+        //1. array of 2D dft tiles of the reference image
+        //2. array of 2D dft tiles ocf the aligned alternate image
+        //3. estimated noise varaince
+        //4. temporal factor
+        //return: merged image patches dft
+        
+        /*
+        
+        //tile_size = TILE_SIZE;
+        double temporal_factor = 8 //8 by default
+
+        double temporal_noise_scaling = (pow(TILE_SIZE,2) * (1.0/16*2))*temporal_factor;
+
+        //start calculating the merged image tiles fft
+     
+        for (int i = 0;i < burst_images.num_images; i++) {
+            if (i != burst_images.reference_image_idx) {
+
+            }
+        }
+        //sample of 0th image
+        altername_image = burst_images.bayer_images_pad[0]
+        
+        //get the tiles of the alternate image
+        std::vector<cv::Mat> alternate_image_tiles = getReferenceTiles(channel_image);
+
+        //get the dft of the alternate image
+        std::vector<cv::Mat> alternate_tiles_DFT;
+        for (auto alt_tile : alternate_tiles_DFT) {
+            cv::Mat alt_tile_DFT;
+            alt_tile.convertTo(alt_tile_DFT, CV_32F);
+            cv::dft(alt_tile_DFT, alt_tile_DFT, cv::DFT_SCALE | cv::DFT_COMPLEX_OUTPUT);
+            alternate_tiles_DFT.push_back(alt_tile_DFT);
+        }
+
+
+
+        std::vector<cv::Mat> tile_differences = reference_tiles_DFT - alternate_tiles_DFT;
+        std::vector<cv::Mat>  tile_sq_asolute_diff = tile_differences; //tile_differences.real**2 + tile_differnce.imag**2; //also tile_dist
+
+        std::vector<cv::Mat>  A = tile_sq_asolute_diff/(tile_sq_asolute_diff+noise_variance)
+
+        std::vector<cv::Mat> merged_image_tiles_fft = alternate_tiles_DFT + A * tile_differences;
+
+        //use merged_image_tiles_fft into part 4.3
+
+
+
         // TODO: 4.3 Spatial Denoising
 
         // Apply IFFT on reference tiles (frequency to spatial)
@@ -551,6 +609,21 @@ cv::Mat merge::processChannel( hdrplus::burst& burst_images, \
         }
         reference_tiles = denoised_tiles;
 
+        //adding after here
+        double spatial_factor = 1; //to be added
+        double spatial_noise_scaling = (pow(TILE_SIZE,2) * (1.0/16*2))*spatial_factor;
+
+        //calculate the spatial denoising
+        spatial_tile_dist = reference_tiles.real**2 + reference_tiles.imag**2;
+        std::vector<cv::Mat> WienerCoeff = denoised_tiles*spatial_noise_scaling*noise_variance;
+
+        merged_channel_tiles_spatial = reference_tiles*spatial_tile_dist/(spatial_tile_dist+WienerCoeff)
+        
+        //apply the cosineWindow2D over the merged_channel_tiles_spatial and reconstruct the image
+
+        */
+
+       
         // 4.4 Cosine Window Merging
         // Process tiles through 2D cosine window
         std::vector<cv::Mat> windowed_tiles;
@@ -562,4 +635,35 @@ cv::Mat merge::processChannel( hdrplus::burst& burst_images, \
         return mergeTiles(windowed_tiles, channel_image.rows, channel_image.cols);
     }
 
+
+    //Helper function to get the channels from the input image
+    std::vector<ushort> getChannels(cv::Mat input_image){
+        std::vector<ushort> channels[4];
+
+        for (int y = 0; y < input_image.rows; ++y) {
+            for (int x = 0; x < input_image.cols; ++x) {
+                if (y % 2 == 0) {
+                    if (x % 2 == 0) {
+                        channels[0].push_back(input_image.at<ushort>(y, x));
+                    }
+                    else {
+                        channels[1].push_back(input_image.at<ushort>(y, x));
+                    }
+                }
+                else {
+                    if (x % 2 == 0) {
+                        channels[2].push_back(input_image.at<ushort>(y, x));
+                    }
+                    else {
+                        channels[3].push_back(input_image.at<ushort>(y, x));
+                    }
+                }
+            }
+        }
+        return channels;
+        
+    }
+
+    //we should be getting the individual channel in the same place where we call the processChannel function with the reference channel in its arguments
+
 } // namespace hdrplus