Defect pixel interpolation for lossy compression of camera raw data

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Schöberl M, Keinert J, Seiler J, Foessel S, Kaup A
Publication year: 2012
Volume: 8305
ISBN: 9780819489524


Abstract


The image processing pipeline of a traditional digital camera is often limited by processing power. A better image quality could be generated only if more complexity was allowed. In a raw data workflow most algorithms are executed off-camera. This allows the use of more sophisticated algorithms for increasing image quality while reducing camera complexity. However, this requires a major change in the processing pipeline: a lossy compression of raw camera images might be used early in the pipeline. Subsequent off-camera algorithms then need to work on modified data. We analyzed this problem for the interpolation of defect pixels. We found that a lossy raw compression spreads the error from uncompensated defects over many pixels. This leads to a problem as this larger error cannot be compensated after compression. The use of high quality, high complexity algorithms in the camera is also not an option. We propose a solution to this problem: Inside the camera only a simple and low complexity defect pixel interpolation is used. This significantly reduces the compression error for neighbors of defects. We then perform a lossy raw compression and compensate for defects afterwards. The high complexity defect pixel interpolation can be used off-camera. This leads to a high image quality while keeping the camera complexity low.© 2012 SPIE-IS&T.


FAU Authors / FAU Editors

Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Schöberl, Michael
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Seiler, Jürgen PD Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Schöberl, M., Keinert, J., Seiler, J., Foessel, S., & Kaup, A. (2012). Defect pixel interpolation for lossy compression of camera raw data. In Proceedings of the SPIE Electronic Imaging - Visual Information Processing and Communication II. San Francisco, CA, US.

MLA:
Schöberl, Michael, et al. "Defect pixel interpolation for lossy compression of camera raw data." Proceedings of the SPIE Electronic Imaging - Visual Information Processing and Communication II, San Francisco, CA 2012.

BibTeX: 

Last updated on 2019-16-04 at 22:23