Name
Abstract | ||
|---|---|---|
Measuring image quality is an interesting and challenging area of research. In this paper we investigate the performance of the statistical functions called copula as image quality measures. These functions are popular for applications where data distributions are unknown. This property motivated some researchers to using these copulas in image processing in general and in detecting image changes and image registration in particular. In this research, we use the Gaussian copula to calculate the mutual information, which is the measure of the association of the reference and the distorted or tampered with images. To test the performance of the proposed method, we implemented our method on LIVE image database and compared our results with three popular image quality measures namely Visual Information Fidelity (VIF), Structural Similarity (SSIM), and Universal Quality Measure (UQI). The results show that our quality measure, obtained similar results to the three methods in 99% of the time, hence the proposed method can be considered as an efficient image quality index. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CCECE.2013.6567730 | Electrical and Computer Engineering |
Keywords | Field | DocType |
Gaussian processes,image registration,statistical analysis,Gaussian copula,LIVE image database,SSIM,UQI,VIF,data distributions,image change detection,image processing,image quality index,image quality measure,image registration,mutual information,statistical functions,structural similarity,universal quality measure,visual information fidelity,Gaussian copula,Image quality measure,SSIM,UQI,VIF | Data mining,Feature detection (computer vision),Pattern recognition,Image texture,Computer science,Copula (linguistics),Copula (probability theory),Image processing,Image quality,Artificial intelligence,Mutual information,Image registration | Conference |
ISSN | ISBN | Citations |
0840-7789 E-ISBN : 978-1-4799-0032-9 | 978-1-4799-0032-9 | 4 |
PageRank | References | Authors |
0.43 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saif al Zahir | 1 | 4 | 0.43 |
| Faramarz Kashanchi | 2 | 4 | 0.43 |