Scattered Particles Removal in Single Image for Technology of Hologram

  • Authors

    • Muhamad Lazim Talib
    • Norshahriah Abdul Wahab
    • Mohamad Faidzul Nasruddin
    • Siti Norul Huda Sheikh Abdullah
    2018-11-26
    https://doi.org/10.14419/ijet.v7i4.29.27397
  • Haze removal, Scattered particle, Illumination information, Hologram
  • Abstract

    Scene image captured by vision devices usually occluded by scattered atmospheric particles. The quality of image usually corrupted by this problem. Recent researches usually do the image enhancement and recovery method to solve the problem. Doing image enhancement usually eliminate some potential scene information accidently. Previous researchers did the recovery methods to remain the potential information physically. They did veil estimation, depth transmission estimation and reflectance layer estimation to remove the scattered particles. By doing this, image may contain unreliable value added in veil estimation and transmission. So that the scene of image structure was disturbed. This research did the potential illumination estimation that influence the scattered particles occurred in the image. Result of the experiment proved that this method to reliable value to remove in the image was remained by Structure Similarity Index Matrix(SSIM).

     

     

  • References

    1. [1] S. G. Narasimhan and S. K. Nayar, "Interactive (de) weathering of an image using physical models," in IEEE Workshop on Color and Photometric Methods in Computer Vision, 2003, p. 1.

      [2] S. G. Narasimhan and S. K. Nayar, "Contrast restoration of weather degraded images," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 25, pp. 713-724, 2003.

      [3] Y. Y. Schechner, S. G. Narasimhan, and S. K. Nayar, "Polarization-based vision through haze," Applied Optics, vol. 42, pp. 511-525, 2003.

      [4] K. He, J. Sun, and X. Tang, "Single image haze removal using dark channel prior," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 33, pp. 2341-2353, 2011.

      [5] R. T. Tan, "Visibility in bad weather from a single image," in Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, 2008, pp. 1-8.

      [6] B. Xie, F. Guo, and Z. Cai, "Improved single image dehazing using dark channel prior and multi-scale Retinex," in Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on, 2010, pp. 848-851.

      [7] J. Zhou and F. Zhou, "Single image dehazing motivated by Retinex theory," in Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on, 2013, pp. 243-247.

      [8] R. Fattal, "Single image dehazing," in ACM transactions on graphics (TOG), 2008, p. 72.

      [9] R. Fattal, "Dehazing using color-lines," ACM Transactions on Graphics (TOG), vol. 34, p. 13, 2014.

      [10] M. Sulami, I. Glatzer, R. Fattal, and M. Werman, "Automatic recovery of the atmospheric light in hazy images," in Computational Photography (ICCP), 2014 IEEE International Conference on, 2014, pp. 1-11.

      [11] C. O. Ancuti and C. Ancuti, "Single image dehazing by multi-scale fusion," Image Processing, IEEE Transactions on, vol. 22, pp. 3271-3282, 2013.

      [12] C. O. Ancuti, C. Ancuti, and P. Bekaert, "Effective single image dehazing by fusion," in Image Processing (ICIP), 2010 17th IEEE International Conference on, 2010, pp. 3541-3544.

      [13] Z. Fu, Y. Yang, C. Shu, Y. Li, H. Wu, and J. Xu, "Improved single image dehazing using dark channel prior," Systems Engineering and Electronics, Journal of, vol. 26, pp. 1070-1079, 2015.

      [14] B. Li, S. Wang, J. Zheng, and L. Zheng, "Single image haze removal using content-adaptive dark channel and post enhancement," Computer Vision, IET, vol. 8, pp. 131-140, 2014.

      [15] [15] J.-B. Wang, N. He, L.-L. Zhang, and K. Lu, "Single image dehazing with a physical model and dark channel prior," Neurocomputing, vol. 149, pp. 718-728, 2015.

      [16] C.-H. Yeh, L.-W. Kang, C.-Y. Lin, and C.-Y. Lin, "Efficient image/video dehazing through haze density analysis based on pixel-based dark channel prior," in Information Security and Intelligence Control (ISIC), 2012 International Conference on, 2012, pp. 238-241.

      [17] L. Hesselink, "Digital image processing in flow visualization," Annual Review of Fluid Mechanics, vol. 20, pp. 421-486, 1988.

      [18] T. Okugawa and K. Hotate, "Real-time optical image processing by synthesis of the coherence function using real-time holography," Ieee Photonics Technology Letters, vol. 8, pp. 257-259, 1996.

      [19] M. F. Al-Sammaraie, "Contrast enhancement of roads images with foggy scenes based on histogram equalization," in Computer Science & Education (ICCSE), 2015 10th International Conference on, 2015, pp. 95-101.

      [20] N. Hautière, J.-P. Tarel, and D. Aubert, "Towards fog-free in-vehicle vision systems through contrast restoration," in Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on, 2007, pp. 1-8.

  • Downloads

  • How to Cite

    Lazim Talib, M., Abdul Wahab, N., Faidzul Nasruddin, M., & Norul Huda Sheikh Abdullah, S. (2018). Scattered Particles Removal in Single Image for Technology of Hologram. International Journal of Engineering & Technology, 7(4.29), 255-259. https://doi.org/10.14419/ijet.v7i4.29.27397

    Received date: 2019-02-12

    Accepted date: 2019-02-12

    Published date: 2018-11-26