| dc.contributor.author | Mantiuk, R. | en_US |
| dc.contributor.author | Cybularczyk, J. | en_US |
| dc.contributor.author | Cichowicz, M. | en_US |
| dc.contributor.author | Smyk, M. | en_US |
| dc.contributor.author | Bazyluk, B. | en_US |
| dc.contributor.editor | A. Day and R. Mantiuk and E. Reinhard and R. Scopigno | en_US |
| dc.date.accessioned | 2014-02-06T15:10:44Z | |
| dc.date.available | 2014-02-06T15:10:44Z | |
| dc.date.issued | 2011 | en_US |
| dc.identifier.issn | 1017-4656 | en_US |
| dc.identifier.uri | http://dx.doi.org/10.2312/EG2011/areas/077-078 | en_US |
| dc.description.abstract | We replace the standard image capture pipeline in mobile phones with an HDR acquisition pipeline based on the multi-exposure method. We report timings for basic HDR algorithms implemented in a smartphone with ARMv6 processor 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. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Categories and Subject Descriptors (according to ACM CCS): I.3.3 [Image Processing and Computer Vision]: Applications | en_US |
| dc.title | HDR Photographic Pipeline for Camera Modules in Mobile Devices | en_US |
| dc.description.seriesinformation | Eurographics 2011 - Areas Papers | en_US |
