2021年 01期

摘要(Abstract)：

为了复原因相机抖动而产生的运动模糊图像,提出基于L_p范数和全变分范数的正则化盲复原方法;首先,基于模糊图像的梯度稀疏性建立L_p范数正则化模型,利用全变分范数保持图像的结构信息;然后,根据模糊核稀疏性的先验知识建立模糊核的盲估计模型;最后,提出一种渐近边界假设条件对模糊图像进行扩展以抑制振铃,并通过交替最小化方法分别求解清晰图像和模糊核的估计值。结果表明,所提出的方法简单、可行,具有更好的图像复原效果。

关键词(KeyWords)： 盲复原;稀疏正则化;运动模糊图像;模糊核估计;边界条件

基金项目(Foundation): 国家自然科学基金项目(61562074,61961036);; 广西创新驱动发展专项资金项目(科技重大专项)(桂科AA18118036);; 广西自然科学基金项目(2018GXNSFBA281173,2018GXNSFAA294019);; 广西高校中青年教师基础能力提升项目(2017KY0629,2018KY0537)

作者(Author): 龚平,贺杰,a,刘娜,卢振坤

DOI: 10.13349/j.cnki.jdxbn.20200903.002

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