Projection Data Smoothing for Low-Dose CT Based on $$\ell _p$$ Regularization

Projection data smoothing is a traditional technique for low-dose computed tomography. The projection data can be modeled as a piecewise smooth function. It’s well known that \(\ell _1\) regularization of the image gradients tries to recover piecewise constant functions, while \(\ell _2\) regularization recovers smooth functions. This motivates us to propose the \(\ell _p\) regularization with \(1更多