Image enhancement for improving object recognition

Jaeseok Kim

doi:10.1007/978-94-017-9075-8_4

Image enhancement for improving object recognition

Jaeseok Kim

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Image enhancement techniques are increasingly needed for improving object recognition in automobile driving. In driving conditions, there are many variables that degrade the quality of the image captured from the camera, such as fog, rain, a sudden change of illumination, or lack of illumination. If the quality of the obtained image is degraded, object recognition (cars, pedestrians, fixed objects, and traffic signals) can be unsatisfactory. To improve the recognition rate of objects, several image enhancement algorithms are proposed and evaluated. In this chapter, general image enhancement techniques are introduced, followed by a discussion of advanced techniques for the driving environment.

Original language	English
Title of host publication	Algorithm and Soc Design for Automotive Vision Systems
Subtitle of host publication	For Smart Safe Driving System
Publisher	Springer Netherlands
Pages	73-106
Number of pages	34
ISBN (Electronic)	9789401790758
ISBN (Print)	9789401790741
DOIs	https://doi.org/10.1007/978-94-017-9075-8_4
Publication status	Published - 2014 Jan 1

Bibliographical note

Publisher Copyright:
© Springer Science+Business Media Dordrecht 2014.

All Science Journal Classification (ASJC) codes

Engineering(all)

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10.1007/978-94-017-9075-8_4

Cite this

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Image enhancement for improving object recognition

Abstract

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