Paper Info
Title
Structure-aware image inpainting using patch scale optimization.
Abstract
Local structure multiplier in the priority function ensures the structure continuity.Color and space distance take into consideration in path searching process.Find the patch with optimized scale between under each candidate scale. Image inpainting is widely used in many image processing applications such as image stitching, image editing and object removal. The main challenge stems from producing visually plausible results after reconstruction. Most of the image inpainting algorithms cannot maintain structure continuity and texture consistency precisely. To address this problem, we propose a robust exemplar-based inpainting algorithm. Firstly, we present local structure multiplier to contain sufficient structure information in the priority function which ensures the structure continuity. Secondly, we combine color feature and space distance between two patches to search for the optimized patch to avoid texture inconsistency. At last, we calculate the average pixel difference between two patches under each candidate scale, we select the scale which the minimal average pixel difference is to be the optimized scale. We copy the target patch with the optimized patch. Extensive experiments show the effectiveness of the proposed method.
Year
DOI
Venue
2016
10.1016/j.jvcir.2016.06.029
J. Visual Communication and Image Representation
Keywords
Field
DocType
Image inpainting,Texture synthesis,Local structure multiplier,Patch scale optimization
Computer vision,Image stitching,Pattern recognition,Local structure,Image processing,Image editing,Inpainting,Multiplier (economics),Pixel,Artificial intelligence,Texture synthesis,Mathematics
Journal
Volume
Issue
ISSN
40
PA
1047-3203
Citations 
PageRank 
References 
3
0.39
29
Authors
7
Name
Order
Citations
PageRank
Zhihua Chen1306.49
Chao Dai230.39
Lei Jiang330.39
Bin Sheng436861.19
Jing Zhang5142.23
Weiyao Lin673268.05
Yubo Yuan714816.33