The augmented lagrange multipliers method for matrix completion from corrupted samplings with application to mixed Gaussian-impulse noise removal.
This paper studies the problem of the restoration of images corrupted by mixed Gaussian-impulse noise.In recent years, low-rank matrix reconstruction has become a research hotspot in many scientific and engineering domains such as DINING TABLE machine learning, image processing, computer vision and bioinformatics, which mainly involves the problem