目标边缘保持约束的图像联合解卷积复原算法Joint deconvolution image restoration algorithm based on the edge-preserving model
杨阳,孙承志,谢金华,陈波
摘要(Abstract)：
针对图像复原过程中去噪与目标边缘特征保持之间的矛盾,该文提出了一种基于目标边缘保持的图像联合解卷积复原算法。首先,构建了一个目标边缘保持约束模型,实现对图像小梯度特征(噪声为主)的平滑、对图像大梯度特征(目标边缘为主)的保留,平衡复原处理过程中图像去噪与目标边缘保持之间的矛盾;然后,将目标边缘保持约束先验模型,引入MAP图像复原框架,提升MAP复原算法的可靠性和收敛性;最后,利用共轭梯度迭代优化计算过程,加快算法收敛速度。实验结果表明,该算法能较好地平衡图像去噪与目标边缘特征保持之间的矛盾,实现了图像高清晰复原。
关键词(KeyWords)： 图像复原;边缘保持;点扩散函数;代价函数
基金项目(Foundation): 广西自然科学基金项目(2012GXNSFAA053181,2013GXNSFBA019265,2013GXNSFBA019266);; 测绘地理信息公益性行业科研专项(201512020)
作者(Author): 杨阳,孙承志,谢金华,陈波
DOI: 10.16251/j.cnki.1009-2307.2016.12.013
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