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Image Enhancement for Improving Object Recognition

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Algorithm & SoC Design for Automotive Vision Systems

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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.

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Authors and Affiliations

  1. Yonsei University, Seoul, Korea

    Jaeseok Kim

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  1. Jaeseok Kim
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Correspondence to Jaeseok Kim .

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Editors and Affiliations

  1. Yonsei University, Seoul, Korea, Republic of (South Korea)

    Jaeseok Kim

  2. Hanyang University, Ansan, Korea, Republic of (South Korea)

    Hyunchul Shin

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© 2014 Springer Science+Business Media Dordrecht

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Kim, J. (2014). Image Enhancement for Improving Object Recognition. In: Kim, J., Shin, H. (eds) Algorithm & SoC Design for Automotive Vision Systems. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9075-8_4

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  • DOI: https://doi.org/10.1007/978-94-017-9075-8_4

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-9074-1

  • Online ISBN: 978-94-017-9075-8

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