基于结构相关性的自适应图像修复  

Adaptive Image Inpainting Based on Structural Correlation

作　　者：周先春[1,2] 徐燕 ZHOU Xian-chun;XU Yan(School of Electronic and Information Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China;Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology,Nanjing University of Information Science and Technology,Nanjing 210044,China)

机构地区：[1]南京信息工程大学电子与信息工程学院,南京210044 [2]南京信息工程大学江苏省大气环境与装备技术协同创新中心,南京210044

出　　处：《计算机科学》2020年第4期131-135,共5页Computer Science

基　　金：国家自然科学基金项目(11202106,61302188);江苏省“信息与通信工程”优势学科建设项目;江苏品牌专业建设工程资助项目。

摘　　要：针对传统的Criminisi修复算法中优先函数计算的不足,以及修复后图像质量下降的问题,文中提出了一种基于结构相关性的自适应图像修复算法。首先,引入结构相关性,对优先权计算进行改进,增加优先权计算的可靠性;然后,自适应选择样本块大小,使修复更加准确并提高修复效率;最后,引入HSV颜色空间,根据样本的色度、亮度来搜寻最佳匹配块,减少修复误差,完成图像恢复。实验结果表明,所提算法在主观视觉上有明显提升,并且在峰值信噪比(PSNR)和结构相似度(SSIM)方面均有一定提高,修复效果明显,与传统的Criminisi修复算法相比,其峰值信噪比提高了1~3 dB,结构相似度更接近1。所提算法利用结构相关性和自适应选择样本块大小对彩色破损图像进行修复,优先权计算更加合理准确,修复效率有所提高,修复效果可视性更佳,有利于实际应用。This paper proposed an adaptive image inpainting algorithm based on structural correlation to solve the problems of inaccurate priority function and degraded image quality in Criminisi inpainting algorithm.First,the structural correlation is introduced to improve the priority calculation and increase the reliability of the priority calculation.Then,the sample size is adaptively selected to make the repair more accurate and improve the efficiency of repair.Finally,HSV color space is introduced,and according to the chromaticity and brightness of sample,the optimal matching block is searched to reduce the repair error and complete the image restoration.Experimental results show that the proposed algorithm has obvious improvement in subjective visual compared to Criminisi repair algorithm,its peak signal-to-noise ratio(PSNR)and structural similarity(SSIM)are improved,and repair effect is better.Compared with the traditional Criminisi inpainting algorithm,the peak signal-to-noise ratio of proposed algorithm is improved by 1~3 dB and structure similarity is closer to 1.This algorithm uses structure correlation adaptively to select sample block size to repair color broken images,making the priority calculation more reasonable and accurate and the repair effect better,which is helpful to practical application.

关 键 词：图像修复 结构相关性 自适应样本块 HSV颜色空间 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]