@Article{IJNAM-7-4,
author = {},
title = {A Fast Algorithm for Vectorial TV-Based Image Restoration},
journal = {International Journal of Numerical Analysis and Modeling},
year = {2010},
volume = {7},
number = {4},
pages = {700--717},
abstract = {<p style="text-align: justify;">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.</p>},
issn = {2617-8710},
doi = {https://doi.org/2010-IJNAM-747},
url = {https://global-sci.com/article/83621/a-fast-algorithm-for-vectorial-tv-based-image-restoration}
}