Prior to applying SVD to our image matrix, we need to transform the individual 3D matrices into 2D matrices. Basically, we can view any color component as color densities of one color and ignore the color dimension when we are transforming from 3D to 2D. # transform the RED, GREEN, BLUE matrices into a 2D matrices of red, green, blue color density # create three 2D matrices (int type) each for colors, R, G, B. Be sure to match the : # BEGIN SOLUTION # dimensions of the image matrix # copy the corresponding values from 3D image matrix # END SOLUTION print (R, G, B) [[223 222 222 229 229 2291 [220 220 221 229 229 227 [219 219 220 ..- 229 229 229 I 31 48 95 I 33 64 97 1 44 91 98 [211 211 212 210 210 209 142 148 135] 140 142 131 139 129 125]1 [[215 213 213 220 220 2211 220 220 220 223 223 223] Prior to applying SVD to our image matrix, we need to transform the individual 3D matrices into 2D matrices. Basically, we can view any color component as color densities of one color and ignore the color dimension when we are transforming from 3D to 2D. # transform the RED, GREEN, BLUE matrices into a 2D matrices of red, green, blue color density # create three 2D matrices (int type) each for colors, R, G, B. Be sure to match the : # BEGIN SOLUTION # dimensions of the image matrix # copy the corresponding values from 3D image matrix # END SOLUTION print (R, G, B) [[223 222 222 229 229 2291 [220 220 221 229 229 227 [219 219 220 ..- 229 229 229 I 31 48 95 I 33 64 97 1 44 91 98 [211 211 212 210 210 209 142 148 135] 140 142 131 139 129 125]1 [[215 213 213 220 220 2211 220 220 220 223 223 223]