WORKSHOP PAPER
Reconfigurable Focal-Plane Hardware for Block-Wise Intra-Frame HDR Imaging
Jorge Fernández-Berni1, Ricardo Carmona-Galán1, Ángel Rodríguez-Vázquez1
1Institute of Microelectronics of Seville (CSIC - Universidad de Sevilla), C/ Américo Vespucio s/n, 41092, Seville, Spain. Phone: +34954466666

Abstract

This paper presents circuitry conceived to be part of a massively parallel image processing array. Its main feature is a high degree of reconfigurability in order to extract different regions of interest (ROIs) across intra-frame high dynamic range (HDR) scenes. To this end, two photodiodes are included at each processing element (PE). One of them senses the pixel value whereas the other one, working collaboratively with the rest of PEs of the ROI, senses the average incident illumination on the region. As a result, the photointegration period for each ROI is asynchronously set during a single image acquisition stage. Another remarkable characteristic of the hardware is its low-power operation. We report some experimental results based on a previous prototype smart image sensor. By exploiting its processing capabilities, we emulate the behavior of the proposed circuitry. Direct applicability is demonstrated for the Viola-Jones vision algorithm.
Publisher: IISS (Int. Image Sensors Society)
Year: 2013
Workshop: IISW
URL: https://doi.org/10.60928/qju4-wk4u

Keywords

HDR Imaging, Reconfigurable Hardware, Vision Algorithm,

References

1) M. El-Desouki et al., "CMOS active-pixel sensor with in-situ memory for ultrahigh-speed imaging", IEEE Sensors J., 2011. https://doi.org/10.1109/jsen.2010.2089447
2) J. Fernández-Berni et al., "FLIP-Q: A QCIF resolution focal-plane array for low-power image processing", IEEE J. Solid-State Circuits, 2011. https://doi.org/10.1109/jssc.2010.2102591
3) A. Lopich and P. Dudek, "A SIMD cellular processor array vision chip with asynchronous processing capabilities", IEEE Trans. Circuits Syst. I, 2011. https://doi.org/10.1109/tcsi.2011.2131370
4) B. Zhao et al., "A 64x64 CMOS image sensor with on-chip moving object detection and localization", IEEE Trans. Circuits Syst. Video Technol., 2012. https://doi.org/10.1109/tcsvt.2011.2170119
5) A. Spivak et al., "Wide-dynamic-range CMOS image sensors — comparative performance analysis", IEEE Trans. Electron Devices, 2009. https://doi.org/10.1109/ted.2009.2030599
6) P. Viola and M. Jones, "Robust real-time face detection", Int. J. of Computer Vision, 2004. https://doi.org/10.1023/b:visi.0000013087.49260.fb
7) S. Boltz et al., "High-dimensional statistical measure for region-of-interest tracking", IEEE Trans. Image Process., 2009. https://doi.org/10.1109/tip.2009.2015158
8) J. Chiverton et al., "Automatic bootstrapping and tracking of object contours", IEEE Trans. Image Process., 2012. https://doi.org/10.1109/tip.2011.2167343
9) V. Brajovic et al., "Temporal photoreception for adaptive dynamic range image sensing and encoding", Neural Networks, 1998. https://doi.org/10.1016/s0893-6080(98)00070-7
10) J. Fernández-Berni et al., "Wi-FLIP: A wireless smart camera based on a focal-plane low-power image processor", in IEEE/ACM Int. Conf. on Distributed Smart Cameras, 2011. https://doi.org/10.1109/icdsc.2011.6042916