“Noise brush: interactive high quality image-noise separation”
Conference:
Type(s):
Title:
- Noise brush: interactive high quality image-noise separation
Session/Category Title: Imaging enchancement
Presenter(s)/Author(s):
Moderator(s):
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.
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