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Implementation of Single Image De-hazing System on DSP TMS320C6748 Processor

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Soft Computing: Theories and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1053))

Abstract

Due to haze, the light reflecting from an outdoor object gets scattered before reaching the camera in almost all the outdoor scenes. They also decrease the photographic quality in the aerial atmosphere. It results in a massive delay in airlines and trains during the winter season. Hence, the hardware implementation for the removal of haze is an essential task in the field of computer vision. In this paper, we implemented a novel method for removing the fog from a single image using the dark channel prior method (DCM) with pixel by pixel operation. The DCM is adopted based on statistical data of the outdoor images which are haze-free. Based on the information from the DCM on hazy images, the thickness of haze is estimated. Thereby, a haze-free of a high-quality image is recovered. The implementation is done for single image on TMS320c6748 from Texas Instruments DSP kit and is simulated using Code Composer Studio v6.0. The validity of implemented techniques verified and compared with simulation during experimental approbation on the real hardware.

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Acknowledgements

This work is supported by the Science and Engineering Research Board (SERB) India, under the grant of EEQ/2016/000556.

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Authors and Affiliations

  1. Department of ECE, National Institute of Technology, Warangal, 506004, India

    Prathap Soma & Ravi Kumar Jatoth

  2. Vardhaman College of Engineering, Hyderabad, 501218, India

    Hathiram Nenavath

Authors
  1. Prathap Soma
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  2. Ravi Kumar Jatoth
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  3. Hathiram Nenavath
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Corresponding author

Correspondence to Prathap Soma .

Editor information

Editors and Affiliations

  1. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Millie Pant

  2. Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Rajasthan, Jaipur, Rajasthan, India

    Tarun K. Sharma

  3. Department of Instrumentation and Control Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Om Prakash Verma

  4. Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Rajesh Singla

  5. Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Afzal Sikander

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Soma, P., Jatoth, R.K., Nenavath, H. (2020). Implementation of Single Image De-hazing System on DSP TMS320C6748 Processor. In: Pant, M., Sharma, T., Verma, O., Singla, R., Sikander, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1053. Springer, Singapore. https://doi.org/10.1007/978-981-15-0751-9_38

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