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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tursun, O.T. Akyuz, A.O. Erdem, A. Erdem, E. |
| Copyright Year | 2014 |
| Description | Author affiliation: Bilgisayar Muhendisligi Bolumu, Hacettepe Univ., Ankara, Turkey (Erdem, A.; Erdem, E.) || Bilgisayar Muhendisligi Bolumu, Orta Dogu Teknik Univ., Ankara, Turkey (Tursun, O.T.; Akyuz, A.O.) |
| Abstract | The real world encompasses a high range of luminances. In order to capture and represent this range correctly, High Dynamic Range (HDR) imaging techniques are introduced. Some of these techniques are based on constructing an HDR image from several Low Dynamic Range (LDR) images with different exposures. In the capture and reconstruction phases, the HDR reproduction techniques must resolve the differences between the input LDR images due to camera and object movement. In this study, two recent approaches addressing this issue are compared using a novel dataset comprised of image sequences with varying complexity. The results are evaluated by using both objective and subjective measures. |
| Starting Page | 1275 |
| Ending Page | 1278 |
| File Size | 7614958 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479948741 |
| DOI | 10.1109/SIU.2014.6830469 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-04-23 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Graphics Computer vision deghosting Conferences HDR imaging Imaging Dynamic range Signal processing objective evaluation Pattern recognition subjective evaluation |
| Content Type | Text |
| Resource Type | Article |
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