Dead leaves model for measuring texture quality on a digital camera

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.

[1]  Elaine W. Jin,et al.  Texture-based measurement of spatial frequency response using the dead leaves target: extensions, and application to real camera systems , 2010, Electronic Imaging.

[2]  Jong-Sen Lee,et al.  Digital image smoothing and the sigma filter , 1983, Comput. Vis. Graph. Image Process..

[3]  G. Matheron Random Sets and Integral Geometry , 1976 .

[4]  Frédéric Guichard,et al.  Uniqueness of blur measure , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[5]  A. Bovik,et al.  A universal image quality index , 2002, IEEE Signal Processing Letters.

[6]  Brian Keelan,et al.  Handbook of Image Quality: Characterization and Prediction , 2002 .

[7]  D. Ruderman The statistics of natural images , 1994 .

[8]  David Mumford,et al.  Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model , 2004, International Journal of Computer Vision.

[9]  Luis Álvarez,et al.  The Size of Objects in Natural and Artificial Images , 1999 .

[10]  Dietmar Wüller,et al.  Noise reduction versus spatial resolution , 2008, Electronic Imaging.

[11]  Jonathan B. Phillips,et al.  Validating a texture metric for camera phone images using a texture-based softcopy attribute ruler , 2010, Electronic Imaging.

[12]  Ying Chen,et al.  Correlating objective and subjective evaluation of texture appearance with applications to camera phone imaging , 2009, Electronic Imaging.

[13]  Yann Gousseau,et al.  Modeling Occlusion and Scaling in Natural Images , 2007, Multiscale Model. Simul..