电子科技大学学报Issue(3)：432-436,5.DOI:10.3969/j.issn.1001-0548.2014.03.020
基于双十字TV模型的图像修复算法
Image Inpainting Algorithm Based on Double Cross TV
摘要
Abstract
The various total variation (TV) algorithms currently reconstruct the lost or deteriorated parts of images by related information of damaged pixel and its 4 neighborhood pixels. Their inpainting accuracy is low because of finite related information. The double cross TV algorithm proposed in this paper divides 8 neighborhood pixels into 2 groups, and computes the pixel value of damaged pixel by using 4 neighborhood pixels in each group respectively. Therefore, the weighted mean of these two pixel values is the final inpainting pixel value. The Experiments show an improvement in PSNR and less iteration number compared with the original TV.关键词
双十字TV算法/图像修复/修复精度/邻域信息Key words
double cross TV algorithm/image inpainting/inpainting accuracy/neighborhood information分类
信息技术与安全科学引用本文复制引用
翟东海,段维夏,鱼江..基于双十字TV模型的图像修复算法[J].电子科技大学学报,2014,(3):432-436,5.基金项目
Supported by national social science foundation of China(12ef119) （12ef119）
Key projects in the science& technology prograrn of science and technology department of Tibet autonomous region (Z2013B28G28/02) （Z2013B28G28/02）
National undergraduate training programs for innovation and entrepreneurship (201210694019).@@@@基金项目国家社会科学基金(12EF119) （201210694019）
西藏自治区科技厅科技计划重点项目(Z2013B28G28/02) （Z2013B28G28/02）
国家级大学生创新创业训练计划(201210694019) （201210694019）
