Compressive coded aperture imaging

@inproceedings{Marcia2009CompressiveCA,
  title={Compressive coded aperture imaging},
  author={Roummel F. Marcia and Zachary T. Harmany and Rebecca M Willett},
  booktitle={Computational Imaging},
  year={2009}
}
Nonlinear image reconstruction based upon sparse representations of images has recently received widespread attention with the emerging framework of compressed sensing (CS). This theory indicates that, when feasible, judicious selection of the type of distortion induced by measurement systems may dramatically improve our ability to perform image reconstruction. However, applying compressed sensing theory to practical imaging systems poses a key challenge: physical constraints typically make it… CONTINUE READING
Highly Cited
This paper has 73 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 47 extracted citations

73 Citations

0510'10'12'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 73 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 17 references

Similar Papers

Loading similar papers…