Augmented Lagrangian (AL) methods for solving convex optimization problems with linear
constraints are attractive for imaging applications with composite cost functions due to the …

We analyze alternating descent algorithms for minimizing the sum of a quadratic function
and block separable non-smooth functions. In case the quadratic interactions between the …

Image denoising is a fundamental operation in image processing, and its applications range
from the direct (photographic enhancement) to the technical (as a subproblem in image …

Model-based image reconstruction (MBIR) methods for X-ray CT reconstruction can improve
image quality and reduce patient X-ray dose. These methods produce images by solving …

Model-based image reconstruction (MBIR) methods for X-ray CT use accurate models of the
CT acquisition process, the statistics of the noisy measurements, and noise-reducing …

Blind image deblurring is a challenging problem in computer vision and image processing.
Due to the highly computational complexity of the blind image deblurring, this paper …

We analyze alternating descent algorithms for minimizing the sum of a quadratic function
and block separable non-smooth functions. In case the quadratic interactions between the …