Denoising via MCMC-Based Lossy Compression
- Creators
- Jalali, Shirin
- Weissman, Tsachy
Abstract
It has been established in the literature, in various theoretical and asymptotic senses, that universal lossy compression followed by some simple postprocessing results in universal denoising, for the setting of a stationary ergodic source corrupted by additive white noise. However, this interesting theoretical result has not yet been tested in practice in denoising simulated or real data. In this paper, we employ a recently developed MCMC-based universal lossy compressor to build a universal compression-based denoising algorithm. We show that applying this iterative lossy compression algorithm with appropriately chosen distortion measure and distortion level, followed by a simple derandomization operation, results in a family of denoisers that compares favorably (both theoretically and in practice) with other MCMC-based schemes, and with the discrete universal denoiser DUDE.
Additional Information
© 2012 IEEE. Manuscript received July 21, 2011; revised December 17, 2011; accepted February 23, 2012. Date of publication March 12, 2012; date of current version May 11, 2012. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Roberto Lopez-Valcarce.Additional details
- Eprint ID
- 31971
- DOI
- 10.1109/TSP.2012.2190597
- Resolver ID
- CaltechAUTHORS:20120620-090347298
- Created
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2012-06-20Created from EPrint's datestamp field
- Updated
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2021-11-09Created from EPrint's last_modified field
- Other Numbering System Name
- INSPEC Accession Number
- Other Numbering System Identifier
- 12725098