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Fix gaussian_blur padding calculation for even kernel sizes #22054

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Fix gaussian_blur padding calculation for even kernel sizes #22054

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8 changes: 5 additions & 3 deletions keras/src/backend/numpy/image.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1018,16 +1018,18 @@ def _get_gaussian_kernel2d(size, sigma):
kernel_size, sigma, num_channels, input_dtype
)

pad_h = kernel_size[0] // 2
pad_w = kernel_size[1] // 2
pad_h = (kernel_size[0] - 1) // 2
pad_h_after = kernel_size[0] - 1 - pad_h
pad_w = (kernel_size[1] - 1) // 2
pad_w_after = kernel_size[1] - 1 - pad_w

blurred_images = np.empty_like(images)

for b in range(batch_size):
for ch in range(num_channels):
padded = np.pad(
images[b, :, :, ch],
((pad_h, pad_h), (pad_w, pad_w)),
((pad_h, pad_h_after), (pad_w, pad_w_after)),
mode="constant",
)
blurred_images[b, :, :, ch] = scipy.signal.convolve2d(
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