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Proceedings Paper

Defect pixel interpolation for lossy compression of camera raw data
Author(s): Michael Schöberl; Joachim Keinert; Jürgen Seiler; Siegfried Foessel; André Kaup
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Paper 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.

Paper Details

Date Published: 15 February 2012
PDF: 8 pages
Proc. SPIE 8305, Visual Information Processing and Communication III, 83050N (15 February 2012); doi: 10.1117/12.907910
Show Author Affiliations
Michael Schöberl, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany)
Joachim Keinert, Fraunhofer-Institut für Integrierte Schaltungen (Germany)
Jürgen Seiler, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany)
Siegfried Foessel, Fraunhofer-Institut für Integrierte Schaltungen (Germany)
André Kaup, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany)

Published in SPIE Proceedings Vol. 8305:
Visual Information Processing and Communication III
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

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