基于强边缘的空间离焦模糊复原算法  

Spatial Defocusing Fuzzy Restoration Algorithm Based on Strong Edge

作　　者：熊展雄 彭向前 XIONG Zhanxiong;PENG Xiangqian(School of Mechanical Engineering,Hunan University of Science and Technology,Xiangtan 411201,China)

机构地区：[1]湖南科技大学机电工程学院,湘潭411201

出　　处：《自动化与仪表》2024年第6期86-90,106,共6页Automation & Instrumentation

摘　　要：针对图像中出现的空间离焦模糊,提出了一种基于强边缘的全图模糊量估计算法。首先在传统的空间离焦模糊恢复算法中对边缘特征进行分类,选择符合复原要求的边缘使用刃边法进行模糊参数估计;然后对不符合复原要求的边缘进行连通域内的均值计算求解模糊参数,并生成全图模糊量映射图;最后对离焦模糊图像进行基于维纳滤波复原模型的图像复原。实验表明,该文算法能够在模糊信息复杂的区域获得较好的复原效果,在信息熵、梯度幅值上更接近清晰图像。Aiming at the spatial defocus blur in the image,an algorithm based on strong edge is proposed to estimate the blur amount of the whole image.First,in the traditional spatial defocus blur restoration algorithm,the edge features are classified,and the edges that meet the restoration requirements are selected to estimate the blur parameters using the knifeedge method.Then,the fuzzy parameters of the edges that do not meet the restoration requirements are calculated by the mean value in the connected domain,and the fuzzy mapping map of the whole image is generated.Finally,the defocus blurred image is restored based on Wiener filtering restoration model.The experimental results show that the proposed algorithm can obtain better restoration effect in the blurred area with complex information,and the information entropy and gradient amplitude are closer to the clear image.

关 键 词：离焦模糊 强边缘 刃边法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]