Image functions

Initialization

circle_image(→ torch.Tensor)	Synthetic image of a circle.
cshape_image(→ torch.Tensor)	Synthetic C-shaped image.
empty_image(→ torch.Tensor)	Create new batch of uninitalized image data.
grid_image(→ torch.Tensor)	Create batch of regularly spaced grid images.
ones_image(→ torch.Tensor)	Create new batch of image data filled with ones.
zeros_image(→ torch.Tensor)	Create new batch of image data filled with zeros.

Convolution

conv(→ torch.Tensor)	Convolve images in batch with a given (separable) kernel.
conv1d(→ torch.Tensor)	Convolve data with 1-dimensional kernel along specified dimension.

Pooling

avg_pool(→ torch.Tensor)	Average pooling of image data.
max_pool(→ torch.Tensor)	Max pooling of image data.
min_pool(→ torch.Tensor)	Min pooling of image data, i.e., negate max_pool() result of negated input data.

Resizing

gaussian_pyramid(→ Dict[int, torch.Tensor])	Create Gaussian image resolution pyramid.
downsample(→ torch.Tensor)	Downsample images after optional convolution with truncated Gaussian kernel.
upsample(→ torch.Tensor)	Upsample images and opitonally deconvolve with truncated Gaussian kernel.
crop(→ torch.Tensor)	Crop or pad images at border.
pad(→ torch.Tensor)	Pad or crop images at border.
center_crop(→ torch.Tensor)	Crop image tensor to specified maximum size.
center_pad(→ torch.Tensor)	Pad image tensor to specified minimum size.
image_slice(→ torch.Tensor)	Get slice from image tensor.
region_of_interest(→ torch.Tensor)	Extract region of interest from image tensor.

Rescaling

normalize_image(→ torch.Tensor)	Normalize image intensities in [min, max].
rescale(→ torch.Tensor)	Linearly rescale values to specified output interval.

Derivatives

spatial_derivatives(→ Dict[str, torch.Tensor])	Calculate spatial image derivatives.
finite_differences(→ torch.Tensor)	Calculate spatial image derivative using finite differences.

Sampling

grid_resample(→ torch.Tensor)	Interpolate image on minimum bounding grid with specified spacing.
grid_reshape(→ torch.Tensor)	Interpolate image with specified spatial image tensor shape.
grid_resize(→ torch.Tensor)	Interpolate image with specified spatial image tensor shape.
grid_sample(→ torch.Tensor)	Sample data at grid points.
grid_sample_mask(→ torch.Tensor)	Sample binary mask at grid points.
sample_image(→ torch.Tensor)	Sample images at given points.
rand_sample(→ Union[torch.Tensor, Sequence[torch.Tensor]])	Random sampling of voxels within an image.

Miscellaneous

dot_batch(→ torch.Tensor)	Weighted dot product between batches of image batch tensors.
dot_channels(→ torch.Tensor)	Weighted dot product between channels of image batch tensors.
fill_border(→ torch.Tensor)	Fill image border with specified value.
flatten_channels(→ torch.Tensor)	Flatten image tensor channels.