Content and Illumination Invariant Blur Measures for Realtime Video Processing

Author

Harasse, Sebastien ; Bonnaud, Laurent ; Desvignes, Michel

Author_Institution

INPGrenoble, St. Martin d´´Heres

fYear

2007

fDate

16-19 Oct. 2007

Firstpage

551

Lastpage

556

Abstract

This paper presents an approach to optical blur estimation in images based on the measuring of the spread of edges. Two measures based on this approach are proposed. The first measure defines a model of amplified Gaussian with background for the profile of edges. The second measure is an approximation that does not require the extraction of profiles at edges. Both measures do not depend on the content or illumination of the image, making them suitable for dynamic videos. The behaviour of the proposed measures is finally presented in the context of dynamic videos from a surveillance camera embedded in a transportation vehicle.

Keywords

Gaussian processes; video signal processing; video surveillance; Gaussian amplification; content-illumination invariant blur measures; image estimation; realtime video processing; surveillance camera; transportation vehicle; Cameras; Focusing; Layout; Lenses; Lighting; Noise robustness; Optical computing; Position measurement; Streaming media; Vehicle dynamics;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Information Technology, 2007. CIT 2007. 7th IEEE International Conference on

Conference_Location

Aizu-Wakamatsu, Fukushima

Print_ISBN

978-0-7695-2983-7

Type

conf

DOI

10.1109/CIT.2007.45

Filename

4385140