基于框式约束的快速全变差图像泊松去噪算法
doi: 10.3724/SP.J.1146.2014.00154
A Fast Total Variation Algorithm Based on Box Constraint for Poisson Noise Removal
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摘要: 该文首先从变分学的角度分析Le等人(2007)基于全变差的图像泊松去噪模型,得到该模型解的一框式约束限制。在此基础上,结合交替方向乘子算法(ADMM),给出了基于框式约束的快速全变差图像泊松去噪算法,并证明了该算法的收敛性。最后,数值实验结果验证了该快速算法的可行性与有效性。
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关键词:
- 图像处理 /
- 图像去噪 /
- 泊松噪声 /
- 约束的交替方向乘子法 /
- 框式约束
Abstract: This study firstly analyzes the model for Poisson noise removal by Le et al. (2007) from the view of calculus of variations, and gets a box constraint of the solution to the model. Then by incorporating the Alternating Direction Method of Multipliers (ADMM) algorithm, a fast total variation algorithm based on box constraint is proposed to solve the above model numerically, and the convergence of the fast algorithm is proved. Finally, experimental results are reported to demonstrate the feasibility and effectiveness of this algorithm.
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