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Lens Correction and Gamma Correction

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Algorithm & SoC Design for Automotive Vision Systems

Abstract

Recently, the necessity of camera in vehicle industry is increasing now as increasing the smart car needs. Almost smart car concepts are implemented by using the camera system based on image processing technology. Actually, the rear view camera for parking assistance system, the forward view camera for lane departure warning and forward collision warning system, and multi-view camera for vehicle black box and blind spot warning system and so on, so many systems those adopted the camera system are already released. However, performance of these functions strongly depends on the image quality through the camera system. Especially, distortion of a thing pictured by the lens and suddenly illumination changing by environments are core factors affecting the image quality for smart car performance. Thus, in this chapter, we introduced a vehicle friendly lens correction algorithm and a gamma correction algorithm with objective illumination estimation method. In the lens correction part, we introduced a simple lens correction method in low-cost camera and we propose a method that leads to guarantee of the restrictions simultaneously for the determination. In the gamma correction part, we introduced the objective illumination estimation methods and the gamma correction methods based on tone mapping.

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Author information

Authors and Affiliations

  1. School of Electrical Engineering, University of Ulsan, Ulsan, Korea

    Sang-Bock Cho

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  1. Sang-Bock Cho
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Correspondence to Sang-Bock Cho .

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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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Cho, SB. (2014). Lens Correction and Gamma Correction. 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_2

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  • DOI: https://doi.org/10.1007/978-94-017-9075-8_2

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-9074-1

  • Online ISBN: 978-94-017-9075-8

  • eBook Packages: EngineeringEngineering (R0)

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