commit 90007bbfd02057d83ba76e7e4cc550958dba7a19
Author: Apostolof <apotwohd@gmail.com>
Date:   Thu Mar 21 20:27:36 2019 +0200

    Init repo, Init bayer2rgb

diff --git a/Assignment_1/bayer2rgb.m b/Assignment_1/bayer2rgb.m
new file mode 100644
index 0000000..3acd870
--- /dev/null
+++ b/Assignment_1/bayer2rgb.m
@@ -0,0 +1,94 @@
+function xc = bayer2rgb(xb, M, N, method)
+%BAYER2RGB Summary of this function goes here
+%   Detailed explanation goes here
+
+    % Initializes the struct that's going to store the RGB image
+    xc = struct;
+    xc.red = zeros(M, N);
+    xc.green = zeros(M, N);
+    xc.blue = zeros(M, N);
+    
+    % Initializes helper variables
+    bayerPatternDimY = size(xb, 1);
+    bayerPatternDimX = size(xb, 2);
+    
+    % Calculates the distance between two grid points for both axes
+    gridPointsStepLengthY = (bayerPatternDimY - 1) / (M - 1);
+    gridPointsStepLengthX = (bayerPatternDimX - 1) / (N - 1);
+    % Calculates the coordinates of the grid points for both axes
+    gridPointsCoordinatesY = 1:gridPointsStepLengthY:bayerPatternDimY;
+    gridPointsCoordinatesX = 1:gridPointsStepLengthX:bayerPatternDimX;
+    
+    if (strcmp(method, 'nearest'))
+        for currentRow = 1:M
+            % Determines the index of the even row of the original image
+            % that is closest to this ordinate (currentRow) of the new
+            % image
+            idx = mod(gridPointsCoordinatesY(currentRow), 2) >= 1;
+            nearestEvenRow = floor(gridPointsCoordinatesY(currentRow));
+            nearestEvenRow(idx) = nearestEvenRow(idx)+1;
+            if (nearestEvenRow > bayerPatternDimY)
+                nearestEvenRow = nearestEvenRow - 2;
+            end
+            
+            % Determines the index of the odd row of the original image
+            % that is closest to this ordinate (currentRow) of the new
+            % image
+            idx = mod(gridPointsCoordinatesY(currentRow), 2) < 1;
+            nearestOddRow = floor(gridPointsCoordinatesY(currentRow));
+            nearestOddRow(idx) = nearestOddRow(idx)+1;
+            if (nearestOddRow > bayerPatternDimY)
+                nearestOddRow = nearestOddRow - 2;
+            end
+            
+            % Determines the index of the row (even or odd) of the original
+            % image that is closest to this ordinate (currentRow) of the
+            % new image
+            totalNearestRow = round(gridPointsCoordinatesY(currentRow));
+                
+            for currentCol = 1:N
+                % Determines the index of the even column of the original
+                % image that is closest to this abscissa (currentCol) of
+                % the new image
+                idx = mod(gridPointsCoordinatesX(currentCol), 2) >= 1;
+                nearestEvenCol = floor(gridPointsCoordinatesX(currentCol));
+                nearestEvenCol(idx) = nearestEvenCol(idx)+1;
+                if (nearestEvenCol > bayerPatternDimX)
+                    nearestEvenCol = nearestEvenCol - 2;
+                end
+                
+                % Determines the index of the even column of the original
+                % image that is closest to this abscissa (currentCol) of
+                % the new image
+                idx = mod(gridPointsCoordinatesX(currentCol), 2) < 1;
+                nearestOddCol = floor(gridPointsCoordinatesX(currentCol));
+                nearestOddCol(idx) = nearestOddCol(idx)+1;
+                if (nearestOddCol > bayerPatternDimX)
+                    nearestOddCol = nearestOddCol - 2;
+                end
+                
+                % Determines the index of the column (even or odd) of the
+                % original image that is closest to this abscissa
+                % (currentCol) of the new image
+                totalNearestCol = round(gridPointsCoordinatesX(currentCol));
+                if (mod(totalNearestRow, 2) == 0 && mod(totalNearestCol, 2) ~= 0)
+                    totalNearestCol = totalNearestCol + 1;
+                elseif (mod(totalNearestRow, 2) ~= 0 && mod(totalNearestCol, 2) == 0)
+                    totalNearestCol = totalNearestCol - 1;
+                end
+                
+                % Closest neighbors per colour can be determined by
+                % observing the Bayer pattern
+                xc.red(currentRow, currentCol) = xb(nearestOddRow, nearestEvenCol);
+                xc.blue(currentRow, currentCol) = xb(nearestEvenRow, nearestOddCol);
+                xc.green(currentRow, currentCol) = xb(totalNearestRow, totalNearestCol);
+            end
+        end
+    elseif (strcmp(method, 'linear'))
+    end
+    
+    % Combines colours to a single image array and shows the result
+    rgbImage = cat(3, xc.blue, xc.green, xc.red);
+    figure();
+    imshow(rgbImage);
+end
diff --git a/Assignment_1/march.mat b/Assignment_1/march.mat
new file mode 100644
index 0000000..d946c1c
Binary files /dev/null and b/Assignment_1/march.mat differ