A new quality assessment for Thangka image inpainting

Summary 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 w...

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Bibliographic Details
Published in:Concurrency and computation 2018-11, Vol.30 (22), p.n/a
Main Authors: Hu, Wenjin, Liu, Zhongmin, Ye, Yuqi
Format: Article
Language:English
Subjects:
edge intensity
Image contrast
image decomposition
Image quality
image quality assessment
Image restoration
local binary pattern
Quality assessment
Thangka image inpainting
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Summary:Summary 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.
ISSN:1532-0626
1532-0634
DOI:10.1002/cpe.4671