Name
Abstract | ||
|---|---|---|
An image captured by a web camera contains stationary and non-stationary noise patterns. These noise patterns are of three types i.e. Fixed Pattern Noise (FPN), Interactive Nose (IN) and Temporal Noise (TN). TN is an independent noise pattern and needs an algorithm that does exploit its higher-order dependencies. Previously, these noise patterns have been characterized using Principal Component Analysis (PCA). PCA is restricted to second order dependencies. In this paper Independent Component Analysis (ICA) has been investigated for actual TN noise. The experimental results demonstrates the effectiveness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.15837/ijccc.2012.2.1411 | INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL |
Keywords | Field | DocType |
fixed pattern noise, interaction noise, temporal noise, independent component analysis, principle component analysis | Fixed-pattern noise,Value noise,Noise characterization,Noise measurement,Pattern recognition,Computer science,Artificial intelligence,Independent component analysis,Gaussian noise,Principal component analysis,Gradient noise | Journal |
Volume | Issue | ISSN |
7 | 2 | 1841-9836 |
Citations | PageRank | References |
1 | 0.36 | 3 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammad A. Khan | 1 | 99 | 11.58 |
| tariq khan | 2 | 50 | 7.73 |
| rabia khan | 3 | 1 | 0.36 |
| atiqa kiyani | 4 | 1 | 0.36 |
| T. M. Khan | 5 | 1 | 0.36 |
| M. A. Khan | 6 | 1 | 0.36 |