Noise Brush: Interactive High Quality Image-Noise Separation
Jia Chen, Chi-Keung Tang, Jue Wang
In ACM Transactions on Graphics, 28(5), December 2009.
Abstract: This paper proposes an interactive approach using joint image-noise filtering for achieving high quality image-noise separation. The core of the system is our novel joint image-noise filter which operates in both image and noise domain, and can effectively separate noise from both high and low frequency image structures. A novel user interface is introduced, which allows the user to interact with both the image and the noise layer, and apply the filter adaptively and locally to achieve optimal results. A comprehensive and quantitative evaluation shows that our interactive system can significantly improve the initial image-noise separation results. Our system can also be deployed in various noise-consistent image editing tasks, where preserving the noise characteristics inherent in the input image is a desired feature.
Article URL: http://doi.acm.org/10.1145/1618452.1618492
BibTeX format:
@article{Chen:2009:NBI,
  author = {Jia Chen and Chi-Keung Tang and Jue Wang},
  title = {Noise Brush: Interactive High Quality Image-Noise Separation},
  journal = {ACM Transactions on Graphics},
  volume = {28},
  number = {5},
  pages = {146:1--146:10},
  month = dec,
  year = {2009},
}
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