Share Email Print
cover

Proceedings Paper

Noise reduction versus spatial resolution
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In modern digital still cameras, noise-reduction is a more and more important issue of signal processing, as the customers demand for higher pixel counts and for increased light sensitivity. In recent years, with pixel counts of ten or more megapixel in a compact camera, the images lack more and more of fine details and appear degraded. The standard test-methods for spatial resolution fail to describe this phenomenon, because due to extensive adaptive image enhancements, the camera cannot be treated as a linear position-invariant-system. In this paper we compare established resolution test methods and present new approaches to describe the influence of noise reduction on images. A new chart is introduced which consists of nine siemens stars, a multi-modulation set of slanted edges and Gaussian white noise as camera target. Using this set, the standard methods known as SFR-Siemens and SFR-Edge are calculated together with additional information like edge-width and edge-noise. Based on the Gaussian white noise, several parameters are presented as an alternative to describe the spatial resolution on low-contrast content.

Paper Details

Date Published: 3 March 2008
PDF: 10 pages
Proc. SPIE 6817, Digital Photography IV, 68170A (3 March 2008); doi: 10.1117/12.765887
Show Author Affiliations
Uwe Artmann, Image Engineering (Germany)
Dietmar Wueller, Image Engineering (Germany)


Published in SPIE Proceedings Vol. 6817:
Digital Photography IV
Jeffrey M. DiCarlo; Brian G. Rodricks, Editor(s)

© SPIE. Terms of Use
Back to Top