Projects per year
Abstract
Raw images are more useful than JPEG images for machine vision algorithms and professional photographers because raw images preserve a linear relation between pixel values and the light measured from the scene. A camera is radiometrically calibrated if there is a computational model which can predict how the raw image is mapped to the corresponding rendered image (e.g. JPEGs) and vice versa. Our method makes use of the observation that the rank order of pixel values are mostly preserved post color correction. We show that this observation is the key for getting a compact and robust radiometric calibration model. Since our method requires fewer variables, it can be solved for using less calibration data. An additional advantage is that we can derive the camera pipeline from a single pair of raw-JPEG images. Experiments demonstrate that our method delivers state-of-the-art results (especially for the most interesting conversion from JPEG to raw).
Original language | English |
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Pages (from-to) | 50404-1-50404-8 |
Number of pages | 8 |
Journal | Journal of Imaging Science and Technology |
Volume | 62 |
Issue number | 5 |
Early online date | 26 Sep 2018 |
DOIs | |
Publication status | Published - 26 Sep 2018 |
Profiles
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Graham Finlayson
- School of Computing Sciences - Professor of Computing Science
- Colour and Imaging Lab - Member
Person: Research Group Member, Academic, Teaching & Research
Projects
- 2 Finished
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Colour space homography
Finlayson, G. & Trollope, P.
Engineering and Physical Sciences Research Council
28/02/15 → 27/02/19
Project: Research
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Rank based spectral estimation
Finlayson, G., Gibbs, D., Stodeman, A., Vazquez Corral, J. & Trollope, P.
Engineering and Physical Sciences Research Council
1/09/12 → 30/11/16
Project: Research
Research output
- 1 Citations (Scopus)
- 1 Conference contribution
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Concise Radiometric Calibration Using The Power of Ranking
Gong, H., Finlayson, G. & Mohammadzadeh Darrodi, M., 4 Sep 2017, British Machine Vision Conference (BMVC). BMVA PressResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile34 Downloads (Pure)