tf.keras.ops.image.gaussian_blur

Applies a Gaussian blur to the image(s).

tf.keras.ops.image.gaussian_blur(
    images, kernel_size=(3, 3), sigma=(1.0, 1.0), data_format=None
)

images Input image or batch of images. Must be 3D or 4D.
kernel_size A tuple of two integers, specifying the height and width of the Gaussian kernel.
sigma A tuple of two floats, specifying the standard deviation of the Gaussian kernel along height and width.
data_format A string specifying the data format of the input tensor. It can be either "channels_last" or "channels_first". "channels_last" corresponds to inputs with shape (batch, height, width, channels), while "channels_first" corresponds to inputs with shape (batch, channels, height, width). If not specified, the value will default to keras.config.image_data_format.

Blurred image or batch of images.

Examples:

x = np.random.random((2, 64, 80, 3))  # batch of 2 RGB images
y = keras.ops.image.gaussian_blur(x)
y.shape
(2, 64, 80, 3)
 
x = np.random.random((64, 80, 3))  # single RGB image
y = keras.ops.image.gaussian_blur(x)
y.shape
(64, 80, 3)
 
x = np.random.random((2, 3, 64, 80))  # batch of 2 RGB images
y = keras.ops.image.gaussian_blur(
    x, data_format="channels_first")
y.shape
(2, 3, 64, 80)