An image inpainting method based on weighted priority and classification matching

Yan CAO; Wei JIN; Randi FU

doi:10.11959/j.issn.1000-0801.2017103

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An image inpainting method based on weighted priority and classification matching

Research and development | 更新时间：2024-06-05

- An image inpainting method based on weighted priority and classification matching
- Telecommunications Science Vol. 33, Issue 4, Pages: 94-100(2017)
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- DOI：10.11959/j.issn.1000-0801.2017103
  CLC： TP391
- Published Online：2017-04，
  
  Published：20 April 2017
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Yan CAO, Wei JIN, Randi FU. An image inpainting method based on weighted priority and classification matching[J]. Telecommunications science, 2017, 33(4): 94-100.
DOI：

Yan CAO, Wei JIN, Randi FU. An image inpainting method based on weighted priority and classification matching[J]. Telecommunications science, 2017, 33(4): 94-100. DOI： 10.11959/j.issn.1000-0801.2017103.

摘要

待修复像素优先级的计算及最佳匹配块的确定是基于纹理合成图像修复方法的两个基本环节，传统方法不仅难于确定优先级计算中的置信度，而且难于搜索到最佳匹配块。提出了一种基于加权优先级和分类匹配的图像修复方法，该方法在优先级模型中，引入指数函数和正规化函数分别优化置信度和数据项，使得计算的优先级更加客观，从而使修复顺序更加合理。基于此，将结构信息作为搜索匹配块的一个度量因子，采用分类筛选方式，选取最佳匹配块。实验结果表明，所提方法在获得良好修复效果的前提下缩短了修复时间。

Abstract

The calculation of the priority of the pixel to be repaired and the determination of the best matching block are based on two basic steps of the texture synthesis image inpainting method.The traditional method is not suitable because it is difficult to determine the confidence in the priority calculation

and it is difficult to search for the best matching block.An image inpainting method based on weighted priority and classification matching was proposed.In the priority model

the exponential function and the normalization function were introduced to optimize the confidence and data items separately

the further benefit of which was a more objective priority of calculation and a more reasonable repair order.Based on the proposed functions

the structure information was used as a measure factor of the search matching block

and the best matching block was selected by the classification and screening method.Experimental results show that the proposed method can shorten the repair time under the condition of obtaining good repair effect.

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references

BERTALMIO M , SAPIRO G , CASELLES V , et al . Image inpainting [C ] // The 27th Annual Conference on Computer Graphics and Interactive Techniques , July 23 - 28 , 2002 , Las Vegas,NV,USA . New Orleans,USA .[S.l.:s.n. ] , 2002 : 417 - 424 .

CHAN T F , SHEN J . Non-texture inpainting by curvature-driven diffusions(CDD) [J ] . Journal of Visual Communication and Image Representation , 2001 , 12 ( 4 ): 436 - 449 .

XU Z B , SUN J . Image inpainting by patch propagation using patch sparsity [J ] . IEEE Transactions on Image Processing , 2010 , 19 ( 5 ): 1153 - 1165 .

CRIMINISI A , PEREA P , TOYAMA K . Region filling and object removal by exemplar-based image inpainting [J ] . IEEE Transactions on Image Processing , 2004 , 13 ( 9 ): 1200 - 1212 .

李旭峰，王静，刘红敏，等 . 特征优先块匹配图像修复算法 [J ] . 计算机辅助设计与图形学学报， 2016 , 28 ( 7 ): 1131 - 1137 .

LI X F , WANG J , LIU H M , et al . Image inpainting using feature precedence and patch matching [J ] . Journal of Computer-Aided Design and Computer Graphics , 2016 , 28 ( 7 ): 1131 - 1137 .

WANG J , LU K , PAN D , et al . Robust object removal with an exemplar based image inpainting approach [J ] . Neurocomputing , 2014 , 123 ( 10 ): 150 - 155 .

CHEN Z , DAI C , JIANG L , et al . Structure-aware image inpainting using patch scale optimization [J ] . Journal of Visual Communication ＆ Image Representation , 2016 ( 40 ): 312 - 323 .

李志丹，和红杰，尹忠科，等 . 基于Curvelet方向特征的样本块图像修复算法 [J ] . 电子学报， 2016 , 44 ( 1 ): 150 - 154 .

LI Z D , HE H J , YIN Z K , et al . Exemplar based image inpainting algorithm using direction features of Curvelet transform [J ] . Acta Electronica Sinica , 2016 , 44 ( 1 ): 150 - 154 .

CHENG W H , HSIEH C W , LIN S K , et al . Robust algorithm for exemplar-based image inpainting [C ] // The International Conference on Computer Graphics,Imaging and Vision(CGIV) , July 26 - 29 , 2005 , Las Vegas,NV,USA . Beijing,China : IEEE Press , 2005 : 64 - 69 .

WANG Z , BOVIK A C , SHEIKH H R , et al . Image quality assessment:from error visibility to structural similarity [J ] . IEEE Transactions on Image Processing , 2004 , 13 ( 4 ): 600 - 612 .

SHIH T K , CHANG R C , LU L C , et al . Adaptive digital image inpainting [C ] // International Conference on Advanced Information Networking and Applications , March 29 - 31 , 2004 , Los Alamitos,USA . New Jersey : IEEE Press , 2004 : 71 - 76 .

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