Full Content is available to subscribers

Subscribe/Learn More  >
Proceedings Article

An algorithm for a progressive acquisition image sensor

[+] Author Affiliations
Pierre-Emmanuel Leni, Yohan D. Fougerolle, Frédéric Truchetet

Lab. LE2I, CNRS, Univ. de Bourgogne (France)

Proc. SPIE 8000, Tenth International Conference on Quality Control by Artificial Vision, 80000O (July 12, 2011); doi:10.1117/12.890904
Text Size: A A A
From Conference Volume 8000

  • Tenth International Conference on Quality Control by Artificial Vision
  • Jean-Charles Pinoli; Johan Debayle; Yann Gavet; Frédéric Gruy; Claude Lambert
  • Saint-Etienne, France | June 28, 2011

abstract

In this paper, we present a novel approach for adaptive and progressive image acquisition, based on the progressive transmission of an image decomposed into compositions and superpositions of monovariate functions. The monovariate functions are iteratively constructed from the acquired data, to progressively reconstruct the final image: the transmission is performed directly in the 1D space of the monovariate functions, independently of any statistical properties of the image. Each monovariate function contains only a fraction of the pixels of the image. Each new transmitted monovariate function adds data to the previously transmitted monovariate functions. After each partial acquisition, by using the updated monovariate functions, the image is reconstructed with an increased resolution. Finally, once all the monovariate functions have been transmitted, the original image is reconstructed exactly at the maximum resolution of the sensor. This approach is characterized by its flexibility: any numbers of intermediate transmissions and reconstructions are possible. Moreover, the intermediate images can be reconstructed at any resolution, and for any number of intermediate reconstructions, the original image will be exactly reconstructed. Finally, the quantity of data is independent of the number and resolutions of intermediate reconstructions. Our contributions include the application of a flexible progressive transmission scheme to provide a progressive and flexible acquisition at various resolutions. Moreover, the accuracy of the full resolution image is preserved, and the acquired data are encrypted and resilient to packet-loss.

© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Pierre-Emmanuel Leni ; Yohan D. Fougerolle and Frédéric Truchetet
"An algorithm for a progressive acquisition image sensor", Proc. SPIE 8000, Tenth International Conference on Quality Control by Artificial Vision, 80000O (July 12, 2011); doi:10.1117/12.890904; http://dx.doi.org/10.1117/12.890904


Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).

Figures

Tables

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.