A. Singer and H.-T. Wu, “Two-dimensional tomography from noisy projections taken at unknown random directions,” SIAM J. Imaging Sci. 6, 136–175 (2013).

[CrossRef]

C. Ponce and A. Singer, “Computing steerable principal components of a large set of images and their rotations,” IEEE Trans. Image Process. 20, 3051–3062 (2011).

[CrossRef]

S. Kritchman and B. Nadler, “Determining the number of components in a factor model from limited noisy data,” Chemom. Intell. Lab. Syst. 94, 1932 (2008).

[CrossRef]

Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, “Image quality assessment: from error visibility to structural similarity,” IEEE Trans. Image Process. 13, 600–612(2004).

[CrossRef]

M. Jogan, E. Zagar, and A. Leonardis, “Karhunen–Loéve expansion of a set of rotated templates,” IEEE Trans. Image Process. 12, 817–825 (2003).

[CrossRef]

M. Uenohara and T. Kanade, “Optimal approximation of uniformly rotated images: relationship between Karhunen–Loéve expansion and discrete cosine transform,” IEEE Trans. Image Process. 7, 116–119 (1998).

[CrossRef]

P. Perona, “Deformable kernels for early vision,” IEEE Trans. Pattern Anal. Mach. Intell. 17, 488–499 (1995).

[CrossRef]

M. van Heel and J. Frank, “Use of multivariate statistics in analysing the images of biological macromolecules,” Ultramicroscopy 6, 187–194 (1981).

[CrossRef]

Z. Kam, “The reconstruction of structure from electron micrographs of randomly oriented particles,” J. Theor. Biol. 82, 15–39 (1980).

[CrossRef]

A. Klug and R. A. Crowther, “Three-dimensional image reconstruction from the viewpoint of information theory,” Nature 238, 435–440 (1972).

[CrossRef]

D. Slepian, “Prolate spheroidal wave functions, Fourier analysis, and uncertainty—IV: extensions to many dimensions, generalized prolate spheroidal wave functions,” Bell Syst. Tech. J. 43, 3009–3057 (1964).

J. McMahon, “On the roots of the Bessel and certain related functions,” Ann. Math. 9, 23–30 (1894–1895).

[CrossRef]

Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, “Image quality assessment: from error visibility to structural similarity,” IEEE Trans. Image Process. 13, 600–612(2004).

[CrossRef]

A. Klug and R. A. Crowther, “Three-dimensional image reconstruction from the viewpoint of information theory,” Nature 238, 435–440 (1972).

[CrossRef]

M. van Heel and J. Frank, “Use of multivariate statistics in analysing the images of biological macromolecules,” Ultramicroscopy 6, 187–194 (1981).

[CrossRef]

J. Frank, Three-Dimensional Electron Microscopy of Macromolecular Assemblies: Visualization of Biological Molecules in Their Native State (Oxford, 2006).

M. Jogan, E. Zagar, and A. Leonardis, “Karhunen–Loéve expansion of a set of rotated templates,” IEEE Trans. Image Process. 12, 817–825 (2003).

[CrossRef]

Z. Kam, “The reconstruction of structure from electron micrographs of randomly oriented particles,” J. Theor. Biol. 82, 15–39 (1980).

[CrossRef]

M. Uenohara and T. Kanade, “Optimal approximation of uniformly rotated images: relationship between Karhunen–Loéve expansion and discrete cosine transform,” IEEE Trans. Image Process. 7, 116–119 (1998).

[CrossRef]

A. Klug and R. A. Crowther, “Three-dimensional image reconstruction from the viewpoint of information theory,” Nature 238, 435–440 (1972).

[CrossRef]

S. Kritchman and B. Nadler, “Determining the number of components in a factor model from limited noisy data,” Chemom. Intell. Lab. Syst. 94, 1932 (2008).

[CrossRef]

M. Jogan, E. Zagar, and A. Leonardis, “Karhunen–Loéve expansion of a set of rotated templates,” IEEE Trans. Image Process. 12, 817–825 (2003).

[CrossRef]

J. McMahon, “On the roots of the Bessel and certain related functions,” Ann. Math. 9, 23–30 (1894–1895).

[CrossRef]

S. Kritchman and B. Nadler, “Determining the number of components in a factor model from limited noisy data,” Chemom. Intell. Lab. Syst. 94, 1932 (2008).

[CrossRef]

P. Perona, “Deformable kernels for early vision,” IEEE Trans. Pattern Anal. Mach. Intell. 17, 488–499 (1995).

[CrossRef]

C. Ponce and A. Singer, “Computing steerable principal components of a large set of images and their rotations,” IEEE Trans. Image Process. 20, 3051–3062 (2011).

[CrossRef]

Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, “Image quality assessment: from error visibility to structural similarity,” IEEE Trans. Image Process. 13, 600–612(2004).

[CrossRef]

Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, “Image quality assessment: from error visibility to structural similarity,” IEEE Trans. Image Process. 13, 600–612(2004).

[CrossRef]

A. Singer and H.-T. Wu, “Two-dimensional tomography from noisy projections taken at unknown random directions,” SIAM J. Imaging Sci. 6, 136–175 (2013).

[CrossRef]

C. Ponce and A. Singer, “Computing steerable principal components of a large set of images and their rotations,” IEEE Trans. Image Process. 20, 3051–3062 (2011).

[CrossRef]

D. Slepian, “Prolate spheroidal wave functions, Fourier analysis, and uncertainty—IV: extensions to many dimensions, generalized prolate spheroidal wave functions,” Bell Syst. Tech. J. 43, 3009–3057 (1964).

M. Uenohara and T. Kanade, “Optimal approximation of uniformly rotated images: relationship between Karhunen–Loéve expansion and discrete cosine transform,” IEEE Trans. Image Process. 7, 116–119 (1998).

[CrossRef]

M. van Heel and J. Frank, “Use of multivariate statistics in analysing the images of biological macromolecules,” Ultramicroscopy 6, 187–194 (1981).

[CrossRef]

Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, “Image quality assessment: from error visibility to structural similarity,” IEEE Trans. Image Process. 13, 600–612(2004).

[CrossRef]

A. Singer and H.-T. Wu, “Two-dimensional tomography from noisy projections taken at unknown random directions,” SIAM J. Imaging Sci. 6, 136–175 (2013).

[CrossRef]

M. Jogan, E. Zagar, and A. Leonardis, “Karhunen–Loéve expansion of a set of rotated templates,” IEEE Trans. Image Process. 12, 817–825 (2003).

[CrossRef]

J. McMahon, “On the roots of the Bessel and certain related functions,” Ann. Math. 9, 23–30 (1894–1895).

[CrossRef]

D. Slepian, “Prolate spheroidal wave functions, Fourier analysis, and uncertainty—IV: extensions to many dimensions, generalized prolate spheroidal wave functions,” Bell Syst. Tech. J. 43, 3009–3057 (1964).

S. Kritchman and B. Nadler, “Determining the number of components in a factor model from limited noisy data,” Chemom. Intell. Lab. Syst. 94, 1932 (2008).

[CrossRef]

Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, “Image quality assessment: from error visibility to structural similarity,” IEEE Trans. Image Process. 13, 600–612(2004).

[CrossRef]

M. Uenohara and T. Kanade, “Optimal approximation of uniformly rotated images: relationship between Karhunen–Loéve expansion and discrete cosine transform,” IEEE Trans. Image Process. 7, 116–119 (1998).

[CrossRef]

M. Jogan, E. Zagar, and A. Leonardis, “Karhunen–Loéve expansion of a set of rotated templates,” IEEE Trans. Image Process. 12, 817–825 (2003).

[CrossRef]

C. Ponce and A. Singer, “Computing steerable principal components of a large set of images and their rotations,” IEEE Trans. Image Process. 20, 3051–3062 (2011).

[CrossRef]

P. Perona, “Deformable kernels for early vision,” IEEE Trans. Pattern Anal. Mach. Intell. 17, 488–499 (1995).

[CrossRef]

Z. Kam, “The reconstruction of structure from electron micrographs of randomly oriented particles,” J. Theor. Biol. 82, 15–39 (1980).

[CrossRef]

A. Klug and R. A. Crowther, “Three-dimensional image reconstruction from the viewpoint of information theory,” Nature 238, 435–440 (1972).

[CrossRef]

A. Singer and H.-T. Wu, “Two-dimensional tomography from noisy projections taken at unknown random directions,” SIAM J. Imaging Sci. 6, 136–175 (2013).

[CrossRef]

M. van Heel and J. Frank, “Use of multivariate statistics in analysing the images of biological macromolecules,” Ultramicroscopy 6, 187–194 (1981).

[CrossRef]

J. Frank, Three-Dimensional Electron Microscopy of Macromolecular Assemblies: Visualization of Biological Molecules in Their Native State (Oxford, 2006).