TY - GEN
T1 - An ℓ1-TV algorithm for deconvolution with salt and pepper noise
AU - Wohlberg, Brendt
AU - Rodríguez, Paul
PY - 2009
Y1 - 2009
N2 - There has recently been considerable interest in applying Total Variation regularization with an ℓ1 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. We consider this problem, comparing the performance of ℓ1-TV deconvolution, computed via our Iteratively Reweighted Norm algorithm, with an alternative variational approach based on Mumford-Shah regularization. The ℓ1-TV deconvolution method is found to have a significant advantage in reconstruction quality, with comparable computational cost.
AB - There has recently been considerable interest in applying Total Variation regularization with an ℓ1 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. We consider this problem, comparing the performance of ℓ1-TV deconvolution, computed via our Iteratively Reweighted Norm algorithm, with an alternative variational approach based on Mumford-Shah regularization. The ℓ1-TV deconvolution method is found to have a significant advantage in reconstruction quality, with comparable computational cost.
KW - Deconvolution
KW - Image restoration
KW - Impulse noise
KW - Total Variation
UR - http://www.scopus.com/inward/record.url?scp=70349199098&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2009.4959819
DO - 10.1109/ICASSP.2009.4959819
M3 - Conference contribution
AN - SCOPUS:70349199098
SN - 9781424423545
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 1257
EP - 1260
BT - 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009
T2 - 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
Y2 - 19 April 2009 through 24 April 2009
ER -