An l1-TV algorithm for deconvolution with salt and pepper noise

Conference · Tue Jan 01 00:00:00 EST 2008

OSTI ID:960617

Wohlberg, Brendt ^[1]; Rodriguez, Paul ^[2]

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1. Los Alamos National Laboratory
2. NON LANL

There has recently been considerable interest in applying Total Variation with an {ell}{sup 1} data fidelity term to the denoising of images subject to salt and pepper noise, but the extension of this formulation to more general problems, such as deconvolution, has received little attention, most probably because most efficient algorithms for {ell}{sup 1}-TV denoising can not handle more general inverse problems. We apply the Iteratively Reweighted Norm algorithm to this problem, and compare performance with an alternative algorithm based on the Mumford-Shah functional.

• Research Organization: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC52-06NA25396
• OSTI ID: 960617
• Report Number(s): LA-UR-08-05496; LA-UR-08-5496; TRN: US201006%%1255
• Resource Relation: Conference: IEEE Int'l Conf. on Acousbics, Speech, and Signal Processing ; April 19, 2009 ; Taipei, Taiwan
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
ACOUSTICS
ALGORITHMS
DATA
FUNCTIONALS
IMAGES
NOISE
PERFORMANCE
PROCESSING
SIGNALS
SPEECH
VARIATIONS