bartorch.prox.L1#
- class bartorch.prox.L1(weight, joint_axes=())#
l1 norm of the image (
pics -R I).- __init__(weight, joint_axes=())#
Methods
__init__(weight[, joint_axes])apply_transform(x[, image_shape, mode])This term's transform applied to
x, without making an operator of it.build(shape)The BART operator for this term over an image of C-order
shape.prox(x[, gamma, image_shape])prox_{gamma f}(x), the operator BART's solvers call.prox_shape(image_shape)The C-order shape this term's proximal operator works on.
rewind(image_shape)Put this term's own random generator back to where it started.
transform(image_shape)The operator BART puts in front of this term's proximal operator.
transform_is_identity(image_shape)Whether that transform is the identity, as BART decides it.
Attributes
axescountjoint_axeskindweight