Dual Domain Noise Removal : Shaded, Color and Moving Images

نویسندگان

  • Anil N. Hirani
  • Takashi Totsuka
چکیده

Recently we presented an algorithm for image noise removal that uses user input and combines frequency and spatial domain information for fast removal of scratch and wire type noise. Wires are used in SFX movies and later removed in post production. In this paper we extend our previous algorithm to handle the difficult cases of shaded images, color images and movie sequences. In this way we solve important practical limitations of our previous algorithm. This is indicative of the power of the projection based approach used in that algorithm. The method of projection onto convex sets (POCS) used there allows us to easily add capability for handling increasingly difficult cases. It is easy to experiment with new approaches while localizing the software and algorithmic changes required.

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تاریخ انتشار 2007