You have a color image as a 3D numpy array with shape (height, width, channels). How do you apply zoom to double the image size without distorting the color channels?

hard📝 Application Q9 of 15

SciPy - Image Processing (scipy.ndimage)

Azoom(img, (2, 2, 1), order=3)

Bzoom(img, 2, order=3)

Czoom(img, (2, 2, 2), order=3)

Dzoom(img, (1, 1, 2), order=3)

Step-by-Step Solution

Solution:

Step 1: Understand zoom factors for each dimension
Height and width should be doubled (factor 2), but channels should remain unchanged (factor 1).
Step 2: Apply zoom with tuple for each axis
Use zoom(img, (2, 2, 1), order=3) to scale spatial dimensions only.
Final Answer:
zoom(img, (2, 2, 1), order=3) -> Option A
Quick Check:
Channels unchanged = zoom factor 1 on last axis [OK]

Quick Trick: Use tuple zoom to keep channels unchanged [OK]

Common Mistakes:

Applying zoom factor 2 to channels causing distortion
Using single zoom factor for all axes
Using zoom factor 1 on spatial axes

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You have a color image as a 3D numpy array with shape (height, width, channels). How do you apply zoom to double the image size without distorting the color channels?

Step 1: Understand zoom factors for each dimension

Step 2: Apply zoom with tuple for each axis

Final Answer:

Quick Check:

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