A Low-Memory, Straightforward and Fast Bilateral Filter Through Subsampling in Spatial Domain

  • Authors:
  • Francesco Banterle;Massimiliano Corsini;Paolo Cignoni;Roberto Scopigno

  • Affiliations:
  • Visual Computing Laboratory, ISTI-CNR, Italy [francesco.banterle@isti.cnr.it, massimiliano.corsini@isti.cnr.it, paolo.cignoni@isti.cnr.it, roberto.scopigno@isti.cnr.it];Visual Computing Laboratory, ISTI-CNR, Italy [francesco.banterle@isti.cnr.it, massimiliano.corsini@isti.cnr.it, paolo.cignoni@isti.cnr.it, roberto.scopigno@isti.cnr.it];Visual Computing Laboratory, ISTI-CNR, Italy [francesco.banterle@isti.cnr.it, massimiliano.corsini@isti.cnr.it, paolo.cignoni@isti.cnr.it, roberto.scopigno@isti.cnr.it];Visual Computing Laboratory, ISTI-CNR, Italy [francesco.banterle@isti.cnr.it, massimiliano.corsini@isti.cnr.it, paolo.cignoni@isti.cnr.it, roberto.scopigno@isti.cnr.it]

  • Venue:
  • Computer Graphics Forum
  • Year:
  • 2012

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Abstract

In this work we present a new algorithm for accelerating the colour bilateral filter based on a subsampling strategy working in the spatial domain. The base idea is to use a suitable subset of samples of the entire kernel in order to obtain a good estimation of the exact filter values. The main advantages of the proposed approach are that it has an excellent trade-off between visual quality and speed-up, a very low memory overhead is required and it is straightforward to implement on the GPU allowing real-time filtering. We show different applications of the proposed filter, in particular efficient cross-bilateral filtering, real-time edge-aware image editing and fast video denoising. We compare our method against the state of the art in terms of image quality, time performance and memory usage. © 2012 Wiley Periodicals, Inc.