基于保真约束的P-M模型图像去噪方法
Fidelity Constrained P-M Model for Image Denoising
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摘要: 为了改进P-M模型图像去噪效果,提出了一种基于保真约束的P-M模型图像去噪方法。结合P-M模型和保真约束项的优点,通过保真约束项调节平滑权重,从而能有效去除噪声,较好保护图像特征,避免"阶梯"效应。研究结果表明了该方法进行图像去噪有效性。Abstract: A novel fidelity constrained P-M model for image denoising is proposed in order to improve P-M model for image denoising. The merits of P-M model and fidelity constrained term are combined, and a fidelity constrained is exploited to adjust smoothing weight, which can remove noise effectively, preserve image characteristics and avoid the staircasing effect. Experimental results demonstrate that the proposed method is effective for image denoising.