Estimating directional smoothness of images with the aid of the hyperanalytic wavelet packet transform

C. Nafornita, A. Isar
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引用次数: 5

Abstract

We propose a method for the estimation of smoothness on the preferential orientations of an anisotropic image. The method associates the utilization of the Hyperanalytic Wavelet Packet Transform, for the identification of the preferential orientations of the image considered and for the separation of the details corresponding at each such direction, with the utilization of a Hurst exponent estimator for the evaluation of smoothness.
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利用超解析小波包变换估计图像的方向平滑度
我们提出了一种估计各向异性图像优先方向平滑度的方法。该方法利用超解析小波包变换来识别所考虑的图像的优先方向,并在每个这样的方向上分离相应的细节,并利用Hurst指数估计器来评估平滑性。
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