CLASH
发表于 2025-3-25 05:00:01
http://reply.papertrans.cn/31/3030/302960/302960_21.png
Devastate
发表于 2025-3-25 10:14:58
A Smoothing Descent Method for Nonconvex TV,-Models,nging from an analytical as well as numerical point of view. In this work a smoothing descent method with provable convergence properties is proposed for computing stationary points of the underlying variational problem. Numerical experiments are reported to illustrate the effectiveness of the new method.
炼油厂
发表于 2025-3-25 13:12:58
http://reply.papertrans.cn/31/3030/302960/302960_23.png
Adulterate
发表于 2025-3-25 17:31:45
http://reply.papertrans.cn/31/3030/302960/302960_24.png
金丝雀
发表于 2025-3-25 21:18:07
http://reply.papertrans.cn/31/3030/302960/302960_25.png
TERRA
发表于 2025-3-26 02:00:09
Gesichts- und Kieferverletzungen, sensing in magnetic resonance (MR) imaging applications. The numerical results show that our algorithm is fast and efficient in restoring blurred images that are corrupted by impulse noise, and also in reconstructing MR images from very few .-space data.
抱狗不敢前
发表于 2025-3-26 04:25:31
Fast Regularization of Matrix-Valued Images,er regularization scheme for matrix-valued functions. We demonstrate the effectiveness of our method for denoising of several group-valued image types, with data in ., ., and ., and discuss its convergence properties.
Lyme-disease
发表于 2025-3-26 12:11:16
http://reply.papertrans.cn/31/3030/302960/302960_28.png
种植,培养
发表于 2025-3-26 13:25:18
http://reply.papertrans.cn/31/3030/302960/302960_29.png
万花筒
发表于 2025-3-26 18:16:24
Fast Regularization of Matrix-Valued Images,imation of diffusion tensors or rigid motions is crucial for higher-level computer vision tasks. In this chapter we describe a novel method for efficient regularization of matrix- and group-valued images. Using the augmented Lagrangian framework we separate the total-variation regularization of matr