The following problem needs MatLab. Any help woul

Problem 3. Load the following image in matlab (command 'load mandrill'). This will give a matrix X with 480 rows and 500 dimensions. Use the following commands to create the figure: figure; colormap(map); imagesc(X); 50 100 150 200 250 300 350 400 450 50 100 150 200 250 300 350 400 450 500 You are supposed to perform singular value decomposition of the image matrix X. [U V W] = svd(X) Construct the following low rank approximation of the matrix and reconstruct the image: 3, 30, 100, 20, 300 and 480 basis vectors. Discuss your results. Problem 3. Load the following image in matlab (command 'load mandrill'). This will give a matrix X with 480 rows and 500 dimensions. Use the following commands to create the figure: figure; colormap(map); imagesc(X); 50 100 150 200 250 300 350 400 450 50 100 150 200 250 300 350 400 450 500 You are supposed to perform singular value decomposition of the image matrix X. [U V W] = svd(X) Construct the following low rank approximation of the matrix and reconstruct the image: 3, 30, 100, 20, 300 and 480 basis vectors. Discuss your results