A Multi-Scale Vectorial L (tau) -TV Framework for Color Image Restoration

作者：Dong Yiqiu^*; Hintermueller Michael; Rincon Camacho M Monserrat

来源：International Journal of Computer Vision, 2011, 92(3): 296-307.

DOI：10.1007/s11263-010-0359-1

• Multi-scale vectorial total variation
• Color image
• L-2-data fidelity
• L-1-data fidelity
• Gaussian noise
• Salt-and-pepper noise

A general multi-scale vectorial total variation model with spatially adapted regularization parameter for color image restoration is introduced in this paper. This total variation model contains an L (tau) -data fidelity for any tau a[1,2]. The use of a spatial dependent regularization parameter improves the reconstruction of features in the image as well as an adequate smoothing for the homogeneous parts. The automated adaptation of this regularization parameter is made according to local statistical characteristics of the noise which contaminates the image. The corresponding multiscale vectorial total variation model is solved by Fenchel-duality and inexact semismooth Newton techniques. Numerical results are presented for the cases tau=1 and tau=2 which reconstruct images contaminated with salt-and-pepper noise and Gaussian noise, respectively.

• 出版日期2011-5