Statistics of natural images and models

Jinggang Huang, D. Mumford
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引用次数: 636

Abstract

Large calibrated datasets of 'random' natural images have recently become available. These make possible precise and intensive statistical studies of the local nature of images. We report results ranging from the simplest single pixel intensity to joint distribution of 3 Haar wavelet responses. Some of these statistics shed light on old issues such as the near scale-invariance of image statistics and some are entirely new. We fit mathematical models to some of the statistics and explain others in terms of local image features.
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自然图像和模型的统计
“随机”自然图像的大型校准数据集最近已经可用。这使得对图像的局部性质进行精确而深入的统计研究成为可能。我们报告的结果范围从最简单的单像素强度到3 Haar小波响应的联合分布。其中一些统计数据揭示了一些老问题,比如图像统计的近尺度不变性,还有一些是全新的。我们将数学模型拟合到一些统计数据中,并根据局部图像特征解释其他统计数据。
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