TY - JOUR T1 - A Fast Algorithm for Vectorial TV-Based Image Restoration AU - F. Dong, J. Yang & C. Liu JO - International Journal of Numerical Analysis and Modeling VL - 4 SP - 700 EP - 717 PY - 2010 DA - 2010/07 SN - 7 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/ijnam/747.html KW - Image restoration, vectorial TV model, split Bregman iteration, color denoising, CB based colorization, TV-based inpainting. AB -
In this paper, we first extend a simple algorithm proposed by Jia et al. [16] to color/vectorial images, and then apply the vectorial algorithm to some variational models for image restoration problems including color image denoisings with the red-green-blue (RGB) and chromaticity-brightness (CB) color representations, CB based colorization and image inpainting. The variational models are all total variation (TV)-based. The proposed vectorial algorithm is simple and straightforward to implement. Some numerical experiments show that it is fast and efficient.