Finished nearest resize

"""

LAB2 Task2

Use Python function “interp2” from packet “scipy” or your own written algorithm to interpolate a grey scale image by using bicubic interpolation.

Enlarge: [461, 461]

Shrink: [205, 205]

"""

import numpy as np

from skimage import io, data

def bicubic_11810818(input_file, dim):

    # Load image

    in_image = io.imread(input_file)

    out_width = dim[0]

    out_height = dim[1]

    in_width = in_image.shape[0]

    in_height = in_image.shape[1]

    out_image = np.zeros(dim, dtype=np.uint8)

    # Perform Exchange

    # Save Image

    io.imsave("bicubic_11810818.tif", out_image)

if __name__ == '__main__':

    bicubic_11810818("rice.tif", [461, 461])

 No newline at end of file

"""

LAB2 Task 1_2

Use bilinear interpolation interpolation to interpolate a grey scale image

Enlarge: [461, 461]

Shrink: [205, 205]

"""

import numpy as np

from skimage import io, data

def bilinear_11810818(input_file, dim):

    # Load image

    in_image = io.imread(input_file)

    out_width = dim[0]

    out_height = dim[1]

    in_width = in_image.shape[0]

    in_height = in_image.shape[1]

    out_image = np.zeros(dim, dtype=np.uint8)

    # Perform Exchange

    for col in range(out_width):

        for row in range(out_height):

            x = col*((in_width-1)/(out_width-1))

            y = row*((in_height-1)/(out_height-1))

            if x == round(x):

                if y == round(y):

                    out_image[col, row] = in_image[x, y]

                else:

                    out_image[col, row] =

            elif y == round(y):

            else:

    # Save Image

    io.imsave("bilinear_11810818.tif", out_image)

if __name__ == '__main__':

    bilinear_11810818("rice.tif", [461, 461])

 No newline at end of file