Name
Abstract | ||
|---|---|---|
Most prevalent statistical models of natural images characterize only the univariate distributions of divisively normalized bandpass responses or wavelet-like decompositions of them. However, the higher-order dependencies between spatially neighboring responses are not yet well understood. Towards filling this gap, we propose a new closed-form spatial-oriented correlation model that captures statistical regularities between perceptually decomposed natural image luminance samples. We validate the new correlation model on a variety of natural images. Experimental results demonstrate the robustness of the new correlation model across image content. A software release that implements the new closed-form spatial-oriented correlation model is available at http://live.ece.utexas.edu/research/3dnss/bicorr_release.zip. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/LSP.2014.2345765 | IEEE Signal Process. Lett. |
Keywords | Field | DocType |
image processing,normalized bandpass responses,statistical analysis,univariate distributions,wavelet-like decompositions,statistical regularities,bivariate model,natural scene statistics (nss),natural image luminance samples,closed-form spatial-oriented correlation model,closed-form,oriented bandpass natural images,spatial-oriented correlation model | Software release life cycle,Band-pass filter,Pattern recognition,Image content,Robustness (computer science),Correlation,Artificial intelligence,Statistical model,Univariate,Luminance,Mathematics | Journal |
Volume | Issue | ISSN |
22 | 1 | 1070-9908 |
Citations | PageRank | References |
3 | 0.39 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Che-chun Su | 1 | 296 | 10.15 |
| Lawrence K. Cormack | 2 | 1044 | 49.38 |
| Alan C. Bovik | 3 | 5062 | 349.55 |