imageZooming.py

import numpy as np
import cv2
import matplotlib.pyplot as plt

class Zoom:
    def zoomin(self, image_np):
        image_new = np.zeros(shape = (image_np.shape[0]*2,image_np.shape[1]*2), dtype ='uint8')
        for i in range(image_np.shape[0]):
            for j in range(image_np.shape[1]):
                image_new[2*i,2*j] = int(image_np[i,j])
        
        # horizontal scalling
        for i in range(1,image_new.shape[0],2):
            for j in range(1,image_new.shape[1],2):
                if j > 1 and j < image_new.shape[1]-1:
                    image_new[i,j] = (int(image_new[i,j-1]) + int(image_new[i,j+1])) // 2
                # if j == 1:
                #     image_new[i,j] = (image_new[i,j+1]) // 2
                if j == image_new.shape[1]-1:
                    image_new[i,j] = int(image_new[i,j-1]) // 2
        
        # vertical scalling
        for i in range(0,image_new.shape[0],2):
            for j in range(image_new.shape[1]):
                if i > 0 and i < image_new.shape[0] - 1:
                    image_new[i,j] = (int(image_new[i-1,j]) + int(image_new[i+1,j]))//2
                if i == 0:
                    image_new[i,j] = int(image_new[i+1,j]) // 2
                if i == image_new.shape[0]-1:
                    image_new[i,j] = int(image_new[i-1,j]) // 2
        
        return image_new

def main():
    image = input('enter the image :')
    image_np = cv2.imread(image, cv2.IMREAD_GRAYSCALE)
    z = Zoom()
    new_image = z.zoomin(image_np.copy())
    print('new image', new_image)
    print('orignal image', image_np)

    cv2.imshow('zoomed image',new_image)
    cv2.imshow('orignal image',image_np)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    plt.imshow(new_image)
    plt.show()
    plt.imshow(image_np)
    plt.show()

if __name__ == '__main__':
    main()