Poisson Noise Removal with Total Variation Regularization and Local Fidelity

LI Fang; LIU Ruihua

Article Contents

Article Navigation > Chinese Journal of Electronics > 2012 > 21(2): 304-308

LI Fang and LIU Ruihua, “Poisson Noise Removal with Total Variation Regularization and Local Fidelity,” Chinese Journal of Electronics, vol. 21, no. 2, pp. 304-308, 2012,

Citation:

LI Fang and LIU Ruihua, “Poisson Noise Removal with Total Variation Regularization and Local Fidelity,” Chinese Journal of Electronics, vol. 21, no. 2, pp. 304-308, 2012,

LI Fang and LIU Ruihua, “Poisson Noise Removal with Total Variation Regularization and Local Fidelity,” Chinese Journal of Electronics, vol. 21, no. 2, pp. 304-308, 2012,

Citation:

LI Fang and LIU Ruihua, “Poisson Noise Removal with Total Variation Regularization and Local Fidelity,” Chinese Journal of Electronics, vol. 21, no. 2, pp. 304-308, 2012,

PDF( 628 KB)

Poisson Noise Removal with Total Variation Regularization and Local Fidelity

LI Fang¹,
LIU Ruihua²

Received Date: 2010-10-01
Rev Recd Date: 2011-09-01
Publish Date: 2012-04-25

Abstract

Abstract

In this paper, we propose two methods to choose the fidelity parameter in total variation based denoising model for Poisson noise. Firstly, we derive a scheme to choose the scalar parameter automatically. Secondly, we propose to use a local fidelity term with spatial-varying parameters which automatically controls the extent of denoising according to image contents. Experiments with simulated data demonstrate that the proposed algorithms are effective.
- Poisson noise,
- Local fidelity term,
- Total variation,
- Texture