A new quality assessment for Thangka image inpainting | |
Hu, Wenjin2; Liu, Zhongmin1; Ye, Yuqi2 | |
2018-11-25 | |
关键词 | Image reconstruction Quality control Textures Edge intensities Image decomposition Image Inpainting Image quality assessment Local binary patterns |
卷号 | 30 |
期号 | 22 |
DOI | 10.1002/cpe.4671 |
英文摘要 | This paper presents an efficient metric for evaluation the effect of the inpainted Thangka images. In contrast to standard image quality metrics, the proposed one takes into account some constraints and characteristics related to the specific goals of inpainting techniques. The key is that we proposed a method to decompose the reference and distorted image and to compare the intensity of fuzzy edge for structure component and similarity for texture component. By comparative analyzing the experimental results with other metrics, the proposed image inpainting quality index delivers high consistency with subjective evaluation results, which will help the selecting algorithm in image restoration and could be also applied to most of inpainting image approaches. © 2018 John Wiley & Sons, Ltd. |
会议录 | Concurrency Computation |
会议录出版者 | John Wiley and Sons Ltd, Southern Gate, Chichester, West Sussex, PO19 8SQ, United Kingdom |
语种 | 英语 |
ISSN号 | 15320626 |
WOS研究方向 | Computer Science |
WOS记录号 | WOS:000448786500011 |
内容类型 | 会议论文 |
源URL | [http://ir.lut.edu.cn/handle/2XXMBERH/118098] |
专题 | 电气工程与信息工程学院 |
作者单位 | 1.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China 2.School of Math and Computer Science, Northwest University for Nationalities, Lanzhou; 730030, China; |
推荐引用方式 GB/T 7714 | Hu, Wenjin,Liu, Zhongmin,Ye, Yuqi. A new quality assessment for Thangka image inpainting[C]. 见:. |
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