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High-speed video haze removal algorithm for embedded systems

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An Erratum to this article was published on 10 August 2016

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Abstract

In this paper, we implemented a video haze removal system that runs in real time and can be integrated in a vehicle dashboard to assist drivers. We used a heterogeneous TI TMS320DM6446 platform to distribute the algorithmic tasks among ARM, DSP, and VICP cores. Our processing algorithm uses the dark channel prior and has been applied to video. It has two algorithmic components which are the operation on multi-scale resolution and a new reconstruction formula for recovering the scene radiance to save computational time without sacrificing quality. We achieved eight frames per second at 720 × 480 video frame resolution.

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  • 10 August 2016

    An erratum has been published.

Notes

  1. As in Eq. (15) implemented in C language as \({\mathbf{I}} += ({\mathbf{I}} -{\mathbf{A}})(KJ^{{{\text{dark}}}}_{Ns})\), where I at the L.H.S represents J.

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Authors and Affiliations

  1. Computer Department, Military Technical College, Cairo, Egypt

    Mostafa M. El-Hashash & Hussein A. Aly

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  1. Mostafa M. El-Hashash
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  2. Hussein A. Aly
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Correspondence to Mostafa M. El-Hashash.

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El-Hashash, M.M., Aly, H.A. High-speed video haze removal algorithm for embedded systems. J Real-Time Image Proc 16, 1117–1128 (2019). https://doi.org/10.1007/s11554-016-0603-1

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