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Compressive Coded Apertures for High-resolution Imaging

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Abstract

Traditionally, optical sensors have been designed to collect the most directly interpretable and intuitive measurements possible. However, recent advances in the fields of image reconstruction, inverse problems, and compressed sensing indicate that substantial performance gains may be possible in many contexts via computational methods. In particular, by design- ing optical sensors to deliberately collect “incoherent” measurements of a scene, we can use sophisticated computational methods to infer more information about critical scene structure and content. In this paper, we explore the potential of physically realizable systems for acquiring such measurements. Specifically, we describe how given a fixed size focal plane array, compressive measurements using coded apertures combined with sophisticated optimization algorithms can significantly increase image quality and resolution.

Citation

R. F. Marcia, Z. T. Harmany and R. M. Willett, “Compressive coded apertures for high-resolution imaging”, in Proceedings of SPIE, 2010, vol. 7723, no. 1, 772304–772304-11.

BibTeX

@inproceedings{marcia-spie2010-cca,
  doi = {10.1117/12.849487},
  title = {Compressive coded apertures for high-resolution imaging},
  author = {Marcia, Roummel F. and Harmany, Zachary T. and Willett, Rebecca M.},
  booktitle = {Proceedings of SPIE},
  volume = {7723},
  number = {1},
  month = {apr},
  year = {2010},
  pages = {772304–772304-11},
  abstract = {Traditionally, optical sensors have been designed to collect the most directly interpretable and intuitive measurements possible. However, recent advances in the fields of image reconstruction, inverse problems, and compressed sensing indicate that substantial performance gains may be possible in many contexts via computational methods. In particular, by design- ing optical sensors to deliberately collect “incoherent” measurements of a scene, we can use sophisticated computational methods to infer more information about critical scene structure and content. In this paper, we explore the potential of physically realizable systems for acquiring such measurements. Specifically, we describe how given a fixed size focal plane array, compressive measurements using coded apertures combined with sophisticated optimization algorithms can significantly increase image quality and resolution.}
}