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