Name
Title | ||
|---|---|---|
Subjectively correlated estimation of noise due to blurriness distortion based on auto-regressive model using the Yule-Walker equations. |
Abstract | ||
|---|---|---|
In this study, a block-based estimation of noise due to blurriness distortion is proposed based on auto-regressive (AR) modelling. In the proposed method; a de-correlated, low-energy version of the blurred image is auto regressively modelled. To this end, AR parameters are estimated using the Yule–Walker equations. As these equations include auto-correlation function (ACF) coefficients, ACF estima... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-ipr.2017.0916 | IET Image Processing |
Keywords | Field | DocType |
filtering theory,correlation methods,medical image processing,regression analysis,image restoration,autoregressive processes,feature extraction | Yule walker equations,Autoregressive model,Pattern recognition,Auto regressive model,Image quality,Artificial intelligence,Noise energy,Distortion,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 10 | 1751-9659 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arash Ashtari Nakhaie | 1 | 1 | 0.35 |
| Mohammad Sadegh Helfroush | 2 | 70 | 11.30 |
| Habibollah Danyali | 3 | 49 | 11.07 |
| M. Ghanbari | 4 | 47 | 8.04 |