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Dead leaves model for measuring texture quality on a digital camera

机译:枯叶模型,用于在数码相机上测量纹理质量

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We describe the procedure to evaluate the image quality of a camera in terms of texture preservation. We use a stochastic model coming from stochastic geometry, and known as the dead leaves model. It intrinsically reproduces occlusions phenomena, producing edges at any scale and any orientation with a possibly low level of contrast. An advantage of this synthetic model is that it provides a ground truth in terms of image statistics. In particular, its power spectrum is a power law, as many natural textures. Therefore, we can define a texture MTF as the ratio of the Fourier transform of the camera picture by the Fourier transform of the original target and we fully describe the procedure to compute it. We will compare the results with the traditional MTF (computed on a slanted edge as defined in the ISO 12233 standard) and will show that the texture MTF is indeed more appropriate for describing fine detail rendering.
机译:我们描述了在纹理保留方面评估相机图像质量的过程。我们使用来自随机几何的随机模型,称为死叶模型。它从本质上再现了遮挡现象,以任何比例和任何方向产生可能具有较低对比度的边缘。这种综合模型的一个优势在于,它提供了图像统计方面的基本事实。特别是,它的功率谱是幂律,就像许多自然纹理一样。因此,我们可以将纹理MTF定义为相机图像的傅里叶变换与原始目标的傅里叶变换之比,并充分描述了计算它的过程。我们将把结果与传统的MTF(在ISO 12233标准中定义的倾斜边缘上进行计算)进行比较,并表明纹理MTF确实更适合描述精细的细节渲染。

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