Share Email Print

Proceedings Paper

Interaction of image noise, spatial resolution, and low contrast fine detail preservation in digital image processing
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

We present a method to improve the validity of noise and resolution measurements on digital cameras. If non-linear adaptive noise reduction is part of the signal processing in the camera, the measurement results for image noise and spatial resolution can be good, while the image quality is low due to the loss of fine details and a watercolor like appearance of the image. To improve the correlation between objective measurement and subjective image quality we propose to supplement the standard test methods with an additional measurement of the texture preserving capabilities of the camera. The proposed method uses a test target showing white Gaussian noise. The camera under test reproduces this target and the image is analyzed. We propose to use the kurtosis of the derivative of the image as a metric for the texture preservation of the camera. Kurtosis is a statistical measure for the closeness of a distribution compared to the Gaussian distribution. It can be shown, that the distribution of digital values in the derivative of the image showing the chart becomes the more leptokurtic (increased kurtosis) the stronger the noise reduction has an impact on the image.

Paper Details

Date Published: 19 January 2009
PDF: 9 pages
Proc. SPIE 7250, Digital Photography V, 72500I (19 January 2009); doi: 10.1117/12.805927
Show Author Affiliations
Uwe Artmann, Image Engineering Dietmar Wüller (Germany)
Dietmar Wueller, Image Engineering Dietmar Wüller (Germany)

Published in SPIE Proceedings Vol. 7250:
Digital Photography V
Brian G. Rodricks; Sabine E. Süsstrunk, Editor(s)

© SPIE. Terms of Use
Back to Top