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电子学报  2015 

改进的迭代算法在图像恢复正则化模型中的应用

DOI: 10.3969/j.issn.0372-2112.2015.06.017, PP. 1152-1159

Keywords: 正则化,图像恢复,海森矩阵,活跃集

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Abstract:

根据图像成像过程容易受泊松噪声的影响,提出用Kullback-Leibler距离描述保真项,用平方根复合函数描述正则项,建立具有自适应权系数的能量泛函正则化模型.由于模型的梯度退化和海森矩阵的规模较大,使得无法应用牛顿迭代算法.本文利用退化梯度幅值作为约束集,建立可对角化和容易求逆的海森矩阵,提出改进的牛顿投影迭代算法.仿真表明,该方法取得较小的相对误差、偏差,较高的信噪比和良好的视觉效果.

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