Image restoration

Image Processing in Python

Rebeca Gonzalez

Data Engineer

Restore an image

Image reconstruction

Fixing damaged images
Text removing
Logo removing
Object removing

Image reconstruction

Inpainting

Reconstructing lost parts of images
Looking at the non-damaged regions

Image reconstruction

Image reconstruction in scikit-image

from skimage.restoration import inpaint


# Obtain the mask
mask = get_mask(defect_image)


# Apply inpainting to the damaged image using the mask
restored_image = inpaint.inpaint_biharmonic(defect_image, 
                                            mask,
                                            multichannel=True)


# Show the resulting image
show_image(restored_image)

Image reconstruction in scikit-image

# Show the defect and resulting images
show_image(defect_image, 'Image to restore')
show_image(restored_image, 'Image restored')

Masks

Masks

def get_mask(image):
    ''' Creates mask with three defect regions '''
    mask = np.zeros(image.shape[:-1])

    mask[101:106, 0:240] = 1

    mask[152:154, 0:60] = 1
    mask[153:155, 60:100] = 1
    mask[154:156, 100:120] = 1
    mask[155:156, 120:140] = 1

    mask[212:217, 0:150] = 1
    mask[217:222, 150:256] = 1
    return mask

Let's practice!

Image Processing in Python

Preparing Video For Download...