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Nov, 2015
使用广义归一化变换对图像进行密度建模
Density Modeling of Images using a Generalized Normalization Transformation
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Johannes Ballé, Valero Laparra, Eero P. Simoncelli
TL;DR
本文介绍了一种参数非线性转换,适用于高斯化自然图像数据,该转换可应用于密度建模并用于无监督深度网络优化。
Abstract
We introduce a
parametric nonlinear transformation
that is well-suited for
gaussianizing data
from natural images. After a linear transformation of the data, each component is normalized by a pooled activity meas
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