Paper
18 January 2010 Texture-based measurement of spatial frequency response using the dead leaves target: extensions, and application to real camera systems
Jon McElvain, Scott P. Campbell, Jonathan Miller, Elaine W Jin
Author Affiliations +
Proceedings Volume 7537, Digital Photography VI; 75370D (2010) https://doi.org/10.1117/12.838698
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
The dead leaves model was recently introduced as a method for measuring the spatial frequency response (SFR) of camera systems. The target consists of a series of overlapping opaque circles with a uniform gray level distribution and radii distributed as r-3. Unlike the traditional knife-edge target, the SFR derived from the dead leaves target will be penalized for systems that employ aggressive noise reduction. Initial studies have shown that the dead leaves SFR correlates well with sharpness/texture blur preference, and thus the target can potentially be used as a surrogate for more expensive subjective image quality evaluations. In this paper, the dead leaves target is analyzed for measurement of camera system spatial frequency response. It was determined that the power spectral density (PSD) of the ideal dead leaves target does not exhibit simple power law dependence, and scale invariance is only loosely obeyed. An extension to the ideal dead leaves PSD model is proposed, including a correction term to account for system noise. With this extended model, the SFR of several camera systems with a variety of formats was measured, ranging from 3 to 10 megapixels; the effects of handshake motion blur are also analyzed via the dead leaves target.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jon McElvain, Scott P. Campbell, Jonathan Miller, and Elaine W Jin "Texture-based measurement of spatial frequency response using the dead leaves target: extensions, and application to real camera systems", Proc. SPIE 7537, Digital Photography VI, 75370D (18 January 2010); https://doi.org/10.1117/12.838698
Lens.org Logo
CITATIONS
Cited by 29 scholarly publications and 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Cameras

Spatial frequencies

Imaging systems

Printing

Image sensors

Sensors

Computing systems

RELATED CONTENT


Back to Top