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A tone mapping algorithm for acquisition of high dynamic range images using event-driven adaptive digital CMOS pixels

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Abstract

An algorithm for the tone mapping of high dynamic range (HDR) scenes in digital CMOS pixels has been developed. The algorithm performs a content-aware compression over HDR scenes, which produces a representation of several decades of acquired data while keeping the main contents in the scene using only 7-bits/pixel.

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References

  1. El Gamal, A., & Eltoukhy, H. (2005). CMOS image sensors. IEEE Circuits and Devices Magazine, 21(3), 6–20.

    Article  Google Scholar 

  2. Wandell, B. A. (1995). Foundations of vision. Sunderland: Sinauer Associates.

    Google Scholar 

  3. Spivak, A., et al. (2009). Wide-dynamic-range CMOS image sensors—comparative performance analysis. IEEE Transactions on Electron Devices, 56(11), 2446–2461.

    Article  MathSciNet  Google Scholar 

  4. Debevec, P. E., & Malik, J. (2008). Recovering high dynamic range radiance maps from photographs (pp. 1–10). Los Angeles: ACM.

    Google Scholar 

  5. Hsiu-Yu, C., Choubey, B., & Collins, S. (2009). An integrating wide dynamic-range image sensor with a logarithmic response. IEEE Transactions on Electron Devices, 56(11), 2423–2428.

    Article  Google Scholar 

  6. Bae, J., et al. (2011) Adaptive tone-mapping operator for HDR images based on image statistics. In TENCON 2011–2011 IEEE Region 10 Conference.

  7. Reinhard, E., et al. (2002). Photographic tone reproduction for digital images. ACM Transaction on Graphics, 21(3), 267–276.

    Article  Google Scholar 

  8. Xiaochuan, G., Xin, Q., & Harris, J. G. (2007). A time-to-first-spike CMOS image sensor. Sensors Journal IEEE, 7(8), 1165–1175.

    Article  Google Scholar 

  9. Zarándy, Á. (2011). Focal-plane sensor-processor chips. New York: Springer.

    Book  Google Scholar 

  10. Vargas-Sierra, S., G. (2012) Linan-Cembrano, and A. Rodriguez-Vazquez. A 148 dB focal-plane tone-mapping QCIF imager. In Circuits and Systems (ISCAS), 2012 IEEE International Symposium on.

  11. Spartan-3 FPGA Family Datasheet; Available from: http://www.xilinx.com/support/documentation/data_sheets/ds099.pdf.

  12. Kleinfelder, S., et al. (2001). A 10000 frames/s CMOS digital pixel sensor. IEEE Journal of Solid-State Circuits, 36(12), 2049–2059.

    Article  Google Scholar 

  13. Khan, I. R., et al. (2009). HVS based histogram adjustment for tone mapping (p. 1). Yokohama: ACM.

    Google Scholar 

  14. Nayeon, C., et al. (2010) A VGA CMOS image sensor with 11-bit column parallel single-slope ADCs. In SoC Design Conference (ISOCC), 2010 International.

  15. Goodnight, N., et al. (2005). Interactive time-dependent tone mapping using programmable graphics hardware. ACM Transaction on Graphics, 21(3), 249–256.

    Google Scholar 

  16. Chiu, C.-T., et al. (2008) Design optimization of a global/local tone mapping processor on arm SOC platform for real-time high dynamic range video. In Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on.

  17. Hassan, F., & Carletta, J. (2007). An FPGA-based architecture for a local tone-mapping operator. Journal of Real-Time Image Processing, 2, 293–308.

    Article  Google Scholar 

  18. Chiu, C.-T., et al. (2011). Real-time tone-mapping processor with integrated photographic and gradient compression using 0.13 m technology on an arm soc platform. Journal of Signal Processing Systems, 64, 93–107.

    Article  MathSciNet  Google Scholar 

  19. Pentax. Pentax K-5II/K-5IIs Specifications: HDR Capture; Available from: http://www.us.ricoh-imaging.com/dslr/K-5_IIs#!product-specs.

  20. Nvidia Chimera™ white paper: The NVIDIA Computational Photography Architecture. http://www.nvidia.com/docs/IO/116757/Chimera_whitepaper_FINAL.pdf.

  21. Lau, J. H. (2011) Evolution, challenge, and outlook of TSV, 3D IC integration and 3d silicon integration. In Advanced Packaging Materials (APM), 2011 International Symposium on.

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Acknowledgments

This work has been partially funded by ONR under Project N000141110312, Ministerio de Economía y Competitividad (Spain) under Project IPT-2011-1625-430000, and CDTI under program FEDER-INNTERCONECTA-Project #ITC-20111009.

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Authors and Affiliations

  1. Instituto de Microelectrónica de Sevilla (IMSE-CNM), CSIC and Universidad de Sevilla, C.\ Américo Vespucio s/n, 41092, Sevilla, Spain

    Sonia Vargas-Sierra, Gustavo Liñán-Cembrano & Ángel Rodríguez-Vázquez

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  1. Sonia Vargas-Sierra
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  2. Gustavo Liñán-Cembrano
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  3. Ángel Rodríguez-Vázquez
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Correspondence to Sonia Vargas-Sierra.

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Vargas-Sierra, S., Liñán-Cembrano, G. & Rodríguez-Vázquez, Á. A tone mapping algorithm for acquisition of high dynamic range images using event-driven adaptive digital CMOS pixels. Analog Integr Circ Sig Process 77, 401–413 (2013). https://doi.org/10.1007/s10470-013-0204-x

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  • DOI: https://doi.org/10.1007/s10470-013-0204-x

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