article · IEEE Transactions on Image Processing · 2005

Phase difference-based multichannel phase unwrapping

G. Fornaro, Antonio Pauciullo, E. Sansosti

Cited by 63Abstract and details only

Abstract

This work addresses the derivation of the phase difference-based maximum likelihood (ML) phase unwrapping algorithm. To this end, we derive the joint statistics of the phase differences on a two-dimensional grid for the multichannel case, where several scaled wrapped phase values are available. Subsequently, we determine and study the structure of the phase difference-based ML estimator and compare it to known phase unwrapping techniques. This work allows us to frame single and multichannel algorithms in a common formulation. Moreover, among the known single-channel phase difference-based procedures, we identify those attaining an ML solution. We also show that multichannel phase difference-based and, recently proposed, phase-based ML algorithms achieve equivalent solutions.

Cite this paper

APA 7

Fornaro, G., Pauciullo, A., & Sansosti, E. (2005). Phase difference-based multichannel phase unwrapping. IEEE Transactions on Image Processing, 14(7), 960–972. https://doi.org/10.1109/tip.2005.849302

MLA 9

Fornaro, G., et al. “Phase difference-based multichannel phase unwrapping.” IEEE Transactions on Image Processing, vol. 14, no. 7, 2005, pp. 960–72, https://doi.org/10.1109/tip.2005.849302.

Chicago

Fornaro, G., Antonio Pauciullo, and E. Sansosti. 2005. “Phase difference-based multichannel phase unwrapping.” IEEE Transactions on Image Processing 14 (7): 960–72. https://doi.org/10.1109/tip.2005.849302.

Harvard

Fornaro, G., Pauciullo, A. and Sansosti, E. (2005) ‘Phase difference-based multichannel phase unwrapping’, IEEE Transactions on Image Processing, 14(7), pp. 960–972. Available at: https://doi.org/10.1109/tip.2005.849302.

BibTeX

@article{fornaro2005phase,
  title = {{Phase difference-based multichannel phase unwrapping}},
  author = {Fornaro, G. and Pauciullo, Antonio and Sansosti, E.},
  journal = {IEEE Transactions on Image Processing},
  volume = {14},
  number = {7},
  pages = {960--972},
  year = {2005},
  doi = {10.1109/tip.2005.849302}
}

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