针对当前较多图像修复方法仅通过对像素点之间的相似差异度进行度量来实现对图像中破损区域的修复、忽略了图像块之间的强度特征、导致修复图像中存在振铃以及不连续等问题,本文设计了一种基于区域结构因子耦合强度特征约束的图像修复方...针对当前较多图像修复方法仅通过对像素点之间的相似差异度进行度量来实现对图像中破损区域的修复、忽略了图像块之间的强度特征、导致修复图像中存在振铃以及不连续等问题,本文设计了一种基于区域结构因子耦合强度特征约束的图像修复方法.首先,通过引导滤波将待修复图像中的噪声进行滤除,以克服图像中噪声干扰引起的错误修复,再根据像素点的梯度特征来构造区域结构因子,以建立优先权函数,测量待修复块优先权,从而确定优先修复块;然后,构造强度特征约束项,将其与误差平方和函数(Sum of Squared Differences,SSD)联合,建立最佳匹配块搜索函数,从相似差异度与强度特征两方面来搜索最佳匹配块;最后,利用像素点之间的差异值,构造置信度更新函数,对其进行更新,进而完成图像修复.实验结果表明,与当前图像修复技术相比,所提方法具有更强的鲁棒性,修复的图像具有更好的视觉效果.展开更多
By analyzing the structure of the objective function based on error sum of squares and the information provided by the objective function, the essential problems in the current parameter estimation methods are summari...By analyzing the structure of the objective function based on error sum of squares and the information provided by the objective function, the essential problems in the current parameter estimation methods are summarized: (1) the information extracted from the objective function based on error sum of squares is unreasonable or even wrong for parameter estimation; and (2) the surface of the objective function based on error sum of squares is more complex than that of the parameter function, which indicates that the optimal parameter values should be searched on the surface of the parameter function instead of the objective function. This paper proposes the concept of sample intersection and demonstrates the uniqueness theorem of intersection point (namely the uniqueness of optimal parameter values). According to the characteristics of parameter function surface and Taylor series expansion, a parameter estimation method based on the sample intersection information extracted from parameter function surface (PFS method) was constructed. The results of theoretical analysis and practical application show that the proposed PFS method can avoid the problems in the current automatic parameter calibration, and has fast convergence rate and good performance in parameter calibration.展开更多
文摘针对当前较多图像修复方法仅通过对像素点之间的相似差异度进行度量来实现对图像中破损区域的修复、忽略了图像块之间的强度特征、导致修复图像中存在振铃以及不连续等问题,本文设计了一种基于区域结构因子耦合强度特征约束的图像修复方法.首先,通过引导滤波将待修复图像中的噪声进行滤除,以克服图像中噪声干扰引起的错误修复,再根据像素点的梯度特征来构造区域结构因子,以建立优先权函数,测量待修复块优先权,从而确定优先修复块;然后,构造强度特征约束项,将其与误差平方和函数(Sum of Squared Differences,SSD)联合,建立最佳匹配块搜索函数,从相似差异度与强度特征两方面来搜索最佳匹配块;最后,利用像素点之间的差异值,构造置信度更新函数,对其进行更新,进而完成图像修复.实验结果表明,与当前图像修复技术相比,所提方法具有更强的鲁棒性,修复的图像具有更好的视觉效果.
基金supported by the National Natural Science Foundation of China (Grant No. 51279057)the Major Program of National Natural Science Foundation of China (Grant Nos. 51190090 and 51190091)+1 种基金the Ph.D. Programs Foundation of Ministry of Education of China (Grant No.20120094120018)the Fundamental Research Funds for the Central Universities of China (Grant No. 2012B00214)
文摘By analyzing the structure of the objective function based on error sum of squares and the information provided by the objective function, the essential problems in the current parameter estimation methods are summarized: (1) the information extracted from the objective function based on error sum of squares is unreasonable or even wrong for parameter estimation; and (2) the surface of the objective function based on error sum of squares is more complex than that of the parameter function, which indicates that the optimal parameter values should be searched on the surface of the parameter function instead of the objective function. This paper proposes the concept of sample intersection and demonstrates the uniqueness theorem of intersection point (namely the uniqueness of optimal parameter values). According to the characteristics of parameter function surface and Taylor series expansion, a parameter estimation method based on the sample intersection information extracted from parameter function surface (PFS method) was constructed. The results of theoretical analysis and practical application show that the proposed PFS method can avoid the problems in the current automatic parameter calibration, and has fast convergence rate and good performance in parameter calibration.
