Image characteristics and representation by phase: from symmetric to geometric structure

The representation of images by phase-only information is investigated. The iterative algorithm used for image reconstruction from phase is analyzed, and the characteristics of images optimally represented by phase-only information are presented. It is concluded that images of geometric structure are most efficiently represented by their spectral phase, whereas images of symmetric form have the poorest convergence characteristics.

[1]  J. M. Hans du Buf,et al.  Gabor phase in texture discrimination , 1990, Signal Process..

[2]  Moshe Porat,et al.  Optimal representation of images by localized phase , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[3]  A.V. Oppenheim,et al.  The importance of phase in signals , 1980, Proceedings of the IEEE.

[4]  Yehoshua Y. Zeevi,et al.  The Generalized Gabor Scheme of Image Representation in Biological and Machine Vision , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Yehoshua Y. Zeevi,et al.  Image reconstruction from localized phase , 1992, IEEE Trans. Signal Process..

[6]  D. Youla,et al.  Image Restoration by the Method of Convex Projections: Part 1ߞTheory , 1982, IEEE Transactions on Medical Imaging.

[7]  Henry Stark,et al.  Signal restoration from phase by projections onto convex sets , 1983, ICASSP.

[8]  Moshe Porat,et al.  Can one evaluate the Gabor expansion using Gabor's iterative algorithm? , 1992, IEEE Trans. Signal Process..

[9]  Changxue Ma,et al.  Novel criteria of uniqueness for signal reconstruction from phase , 1991, IEEE Trans. Signal Process..

[10]  Yehoshua Y. Zeevi,et al.  Signal and image reconstruction from partial Fourier phase , 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 2 - Conference B: Computer Vision & Image Processing. (Cat. No.94CH3440-5).

[11]  H. Stark,et al.  Signal restoration from phase by projections onto convex sets , 1983 .