Visual Data Denoising with a Unified Schatten-p Norm and Lq Norm Regularized Principal Component Pursuit

Content

• Algorithm: pqpcp.m
• Data processing functions: such as generate_batch_gaussian_image.m generating gaussian noise in the image,
• Evaluation metric: PSNR.m,
• Comparative methods: SPCP and NSA.

Reference paper

If you find this work useful in your research, please consider citing:

@article{Wang:2015:VDD:2796563.2796634, 
    author = {Wang, Jing and Wang, Meng and Hu, Xuegang and Yan, Shuicheng},
    title = {Visual Data Denoising with a Unified Schatten-p Norm and Lq Norm Regularized Principal Component Pursuit},
    journal = {Pattern Recognition},
    volume = {48},
    number = {10},
    year = {2015},
    pages = {3135--3144},
}