Poisson Noise Removal Scheme Based on Fourth-Order PDE by Alternating Minimization Algorithm
To overcome the staircasing effects introduced by the TV regularization in image restoration, this paper investigates a fourth-order partial differential equation (PDE) filter for removing Poisson noise. In consideration of the slow convergence property of the classical gradient descent method, we a...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2012/965281 |
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| Summary: | To overcome the staircasing effects introduced by the TV regularization in image
restoration, this paper investigates a fourth-order partial differential equation (PDE) filter for
removing Poisson noise. In consideration of the slow convergence property of the classical
gradient descent method, we adopt the alternating minimization algorithm for realizing this
scheme. Compared with the corresponding total variation based one, numerical simulations
distinctly indicate the superiority of our proposed strategy in handling smooth regions of
Poissonian images and improving the computational speed. |
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| ISSN: | 1085-3375 1687-0409 |