IRadon

class deepinv.physics.functional.IRadon(in_size=None, theta=None, circle=False, use_filter=True, out_size=None, parallel_computation=True, dtype=torch.float, device=torch.device('cpu'))

Bases: Module

Inverse sparse Radon transform operator.

Parameters:

• in_size (int) – the size of the input image. If None, the size is inferred from the input image.

• theta (torch.Tensor) – the angles at which the Radon transform is computed. Default is torch.arange(180).

• circle (bool) – if True, the input image is assumed to be a circle. Default is False.

• use_filter – if True, the ramp filter is applied to the input image. Default is True.

• out_size (int) – the size of the output image. If None, the size is the same as the input image.

• parallel_computation (bool) – if True, all projections are performed in parallel. Requires more memory but is faster on GPUs.

• dtype (torch.dtype) – the data type of the output. Default is torch.float.

• device (str, torch.device) – the device of the output. Default is torch.device(‘cpu’).

forward(x, filtering=True)

Parameters:

• x (torch.Tensor) – the input image.

• filtering (bool) – if True, the ramp filter is applied to the input image. Default is True.