Closed-Form Correlation Model of Oriented Bandpass Natural Images
IEEE Signal Process. Lett.(2015)
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.
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Key words
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
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