Abstract
The high dynamic range (HDR) photography offers significantly better quality than conventional digital images stored in low dynamic range (LDR) formats. We replace the standard image capture pipeline in mobile phones with an HDR acquisition pipeline based on the multi-exposure method. We discuss limitations of the mobile platforms that affect architecture of the proposed pipeline, then implementation of the pipeline on a smartphone with ARMv6 processor (Nokia N8) is described. We report timings for fundamental HDR algorithms and discuss programming techniques that speed-up execution and reduce RAM memory usage. The results compare favourably to proprietary iPhone 4 HDR implementation and show that the HDR pipeline can be efficiently implemented on existing camera phones using high-level APIs and no dedicated hardware.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Adams, A., Talvala, E.V., Park, S.H., Da Jacobs, E., Ajdin, B., Gelfand, N., Dolson, J., Vaquero, D., Baek, J., Tico, M.L., Hendrik, P.A., Matusik, W., Pulli, K., Horowitz, M., Levoy, M.: The Frankencamera: an experimental platform for computational photography. ACM Trans. Graph. 29(4), 29:1–29:12 (2010)
Adams, A., Gelfand, N., Pulli, K.: Viewfinder Alignment. Comput. Graph. Forum 27(2), 597–606 (2008)
Reinhard, E., Ward, G., Pattanaik, S., Debevec, P.: High Dynamic Range Imaging. Data Acquisition, Manipulation, and Display. Morgan Kaufmann (2005)
Mantiuk, R., Pająk, D.: Acceleration of High Dynamic Range Imaging Pipeline Based on Multi-threading and SIMD Technologies. In: Bubak, M., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds.) ICCS 2008, Part I. LNCS, vol. 5101, pp. 780–789. Springer, Heidelberg (2008)
Robertson, M., Borman, S., Stevenson, R.: Dynamic range improvement through multiple exposures. In: Proceedings of the 1999 International Conference on Image Processing (ICIP 1999), pp. 159–163 (1999)
Reinhard, E., Stark, M., Shirley, P., Ferwerda, J.: Photographic tone reproduction for digital images. ACM Trans. on Graph. 21(3), 267–276 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mantiuk, R., Cichowicz, M., Smyk, M. (2012). Implementation of HDR Photographic Pipeline in Mobile Devices. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2012. Lecture Notes in Computer Science, vol 7324. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31295-3_43
Download citation
DOI: https://doi.org/10.1007/978-3-642-31295-3_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31294-6
Online ISBN: 978-3-642-31295-3
eBook Packages: Computer ScienceComputer Science (R0)