DocumentCode
1840428
Title
An Evaluation Index Based on Parameter Weight for Image Inpainting Quality
Author
Wang, Song ; Li, Hong ; Zhu, Xia ; Li, Ping
Author_Institution
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha
fYear
2008
fDate
18-21 Nov. 2008
Firstpage
786
Lastpage
790
Abstract
Traditional image quality evaluation index cannot explicitly reflect image inpainting quality. In order to make more reasonable measures on image inpainting, this paper proposed an evaluation method based on parameter weight through analyzing the reason for subjective distortion feeling after image inpainting. The new method synthetically evaluates image inpainting quality from three aspects: luminance, definition and gradient similarity. Experimental results demonstrate that the novel index can evaluate image inpainting quality more comprehensive and more similar to human eyes feeling than traditional index.
Keywords
image processing; evaluation index; image inpainting quality; luminance; parameter weight; subjective distortion; Digital images; Distortion measurement; Equations; Eyes; Humans; Image analysis; Image quality; Image restoration; Information science; Pixel; Image quality evaluation index; image inpainting; parameter weight;
fLanguage
English
Publisher
ieee
Conference_Titel
Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
Conference_Location
Hunan
Print_ISBN
978-0-7695-3398-8
Electronic_ISBN
978-0-7695-3398-8
Type
conf
DOI
10.1109/ICYCS.2008.461
Filename
4709074
Link To Document