Pages that link to "Item:Q1931013"

The following pages link to Nonlocal total variation models for multiplicative noise removal using split Bregman iteration (Q1931013):

Displaying 18 items.

• Multiplicative noise removal via nonlocal similarity-based sparse representation (Q279108) (← links)
• Recent advances of variational models in medical imaging and applications to computer aided surgery (Q376832) (← links)
• A chaotic iterative algorithm based on linearized Bregman iteration for image deblurring (Q726361) (← links)
• Inexact accelerated augmented Lagrangian methods (Q887168) (← links)
• Performance of the restarted homotopy perturbation method and split Bregman method for multiplicative noise removal (Q1721426) (← links)
• An exp model with spatially adaptive regularization parameters for multiplicative noise removal (Q1747638) (← links)
• A cartoon-texture decomposition based multiplicative noise removal method (Q1793255) (← links)
• An efficient operator-splitting radial basis function-generated finite difference (RBF-FD) scheme for image noise removal based on nonlinear total variation models (Q2085984) (← links)
• Fractional 1-Laplacian evolution equations to remove multiplicative noise (Q2162621) (← links)
• A tensor voting based fractional-order image denoising model and its numerical algorithm (Q2273040) (← links)
• Multiplicative noise removal via using nonconvex regularizers based on total variation and wavelet frame (Q2297111) (← links)
• High-order total bounded variation model and its fast algorithm for Poissonian image restoration (Q2298214) (← links)
• A modified variational model for restoring blurred images with additive noise and multiplicative noise (Q2312480) (← links)
• Deep CNN denoiser prior for blurred images restoration with multiplicative noise (Q2699504) (← links)
• Multiplicative noise removal via combining total variation and wavelet frame (Q5028620) (← links)
• A globally convergent algorithm for a class of gradient compounded non-Lipschitz models applied to non-additive noise removal (Q5148413) (← links)
• Fractional-order cross-diffusion system for multiplicative noise removal (Q6543636) (← links)
• A new two-step variational model for multiplicative noise removal with applications to texture images (Q6636864) (← links)