CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 8305 > Article
Paper
15 February 2012 Defect pixel interpolation for lossy compression of camera raw data
Michael Schöberl, Joachim Keinert, Jürgen Seiler, Siegfried Foessel, André Kaup
Author Affiliations +
Proceedings Volume 8305, Visual Information Processing and Communication III; 83050N (2012) https://doi.org/10.1117/12.907910
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States
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) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Michael Schöberl, Joachim Keinert, Jürgen Seiler, Siegfried Foessel, and André Kaup "Defect pixel interpolation for lossy compression of camera raw data", Proc. SPIE 8305, Visual Information Processing and Communication III, 83050N (15 February 2012); https://doi.org/10.1117/12.907910
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 8 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image compression
Cameras
Image quality
Image processing
RGB color model
Digital cameras
Data compression
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top