Problem 3. Image Resizing %-----------------------------------------------------

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Problem 3. Image Resizing %-------------------------------------------------------------------------- % % Function Name: imageInterp % Inputs (3): - (uint8) An image array % - (double) The new number of rows the image should have % - (double) The new number of columns the image should have % Output (1): - (uint8) A resized image using interpolation % % Function Description: % Write a function called "imageInterp" that takes in an image array and % the new dimensions of the images and scales the image using % interpolation. Scaling using interpolation results in clearer images % when resizing versus traditional techniques. % % To scale an image with interpolation, the function first scales the % width of the image to the new column amount. This can be accomplished by % iterating through each row of image and using the interp() function to % find the new pixel values. The interp() function takes in a vector of % x-values, a vector of corresponding y-values, and a vector of new % x-values within the same range as the original, and gives back what the % probable new y-values would be if there was a linear relationship % between the data sets. For additional information, please type 'help % interp' in the Command Window. % % When performing the linear interpolation, the x-values are taken to be % the column indices of the image, and the y-values are the current values % at a layer. The new x-values are then the indices found using the % conventional re-indexing formula taught in class, except that the % round() is not applied. Essentially, the new x-values should equal the % linspace(1, col, new_col). After all the rows are scaled, the image has % been scaled to the given width. The same process is then repeated except % we now loop through the columns and use the row indices as the % x-values, completing the resizing of the image. % % Test Cases: % img = imread('sample.png'); % new_img = imageInterp(img, 400, 400); % imshow(new_img) % => Should look like imageInterp1.png % % img = imread('buzz.png'); % new_img = imageInterp(img, round(336*1.4), round(445*1.4)); % imshow(new_img) % => Should look like imageInterp2.png %

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