Pages that link to "Item:Q667778"
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The following pages link to Nonconvex TGV regularization model for multiplicative noise removal with spatially varying parameters (Q667778):
Displaying 15 items.
- Convex image denoising via non-convex regularization with parameter selection (Q334269) (← links)
- An exp model with spatially adaptive regularization parameters for multiplicative noise removal (Q1747638) (← links)
- Nonlocal total variation models for multiplicative noise removal using split Bregman iteration (Q1931013) (← links)
- Simultaneous image enhancement and restoration with non-convex total variation (Q2031857) (← links)
- An adaptive total variational despeckling model based on gray level indicator frame (Q2063025) (← links)
- Hybrid non-convex regularizers model for removing multiplicative noise (Q2094352) (← links)
- A new nonconvex approach for image restoration with Gamma noise (Q2203959) (← links)
- Multiplicative noise removal via using nonconvex regularizers based on total variation and wavelet frame (Q2297111) (← links)
- Total generalized variation based denoising models for ultrasound images (Q2399157) (← links)
- An adaptive total generalized variational model for speckle reduction in ultrasound images (Q2676155) (← links)
- A non-convex PDE-constrained denoising model for impulse and Gaussian noise mixture reduction (Q2697349) (← links)
- (Q5051432) (← links)
- A globally convergent algorithm for a class of gradient compounded non-Lipschitz models applied to non-additive noise removal (Q5148413) (← links)
- A Weberized Total Variance Regularization-based Image Multiplicative Noise Model (Q6171929) (← links)
- Models for multiplicative noise removal (Q6606449) (← links)
