Quotient regularization models (QRMs) are a class of powerful regulariza...
Poisson noise commonly occurs in images captured by photon-limited imagi...
Tensor completion is an important problem in modern data analysis. In th...
In this paper, we aim to segment an image degraded by blur and Poisson n...
This paper applies an idea of adaptive momentum for the nonlinear conjug...
In this paper, we propose a multi-stage image segmentation framework tha...
In this paper, we propose to use the general L^2-based Sobolev norms (i....
This paper proposes a combination of rotational compressive sensing with...
In this paper, we study the L1/L2 minimization on the gradient for imagi...
Regularization plays an important role in solving ill-posed problems by
...
In this paper, we consider minimizing the L1/L2 term on the gradient for...
In a class of piecewise-constant image segmentation models, we incorpora...
Brain source imaging is an important method for noninvasively characteri...
Recovering a signal from its Fourier magnitude is referred to as phase
r...
In this paper, we study the ratio of the L_1 and L_2 norms, denoted as...
Demixing problems in many areas such as hyperspectral imaging and
differ...