Signal, Image and Video Processing

, Volume 11, Issue 4, pp 621–628 | Cite as

Regional mutual information-based identification and reduction of flicker artifacts during video encoding

Original Paper

Abstract

Present manuscript discusses a novel technique to identify flicker-prone regions in video and reduce its effects. The flicker-prone regions are identified with the help of regional mutual information which takes into account the geometrical properties of the frames while requiring no prior information about the data under consideration, which makes it suitable for video-processing applications. The flicker-prone regions are passed through a temporal filter before standard compliant encoding of the video sequence. Accurate measurement of the flicker-prone regions and independence of the encoding methodology makes the proposed method suitable for wide variety of encoders.

Keywords

Flicker artifacts Mutual information Video processing 

References

  1. 1.
    Akram, M., Izquierdo, E.: Fast motion estimation for surveillance video compression. SIViP 7(6), 1103–1112 (2013). doi:10.1007/s11760-012-0355-8 CrossRefGoogle Scholar
  2. 2.
    Becker, A., Chan, W., Poulouin, D.: Flicker reduction in intraframe codecs. In: Data Compression Conference, 2004. Proceedings. DCC 2004, pp. 252–261 (2004). doi:10.1109/DCC.2004.1281470
  3. 3.
    Chang, H.C., Yang, C.K.: Fast content-aware video length reduction. SIViP 8(7), 1383–1397 (2014). doi:10.1007/s11760-012-0367-4 CrossRefGoogle Scholar
  4. 4.
    Chono, K., Senda, Y., Miyamoto, Y.: Detented quantization to suppress flicker artifacts in periodically inserted intra-coded pictures in H. 264 video coding. In: 2006 IEEE International Conference on Image Processing, IEEE, pp. 1713–1716 (2006)Google Scholar
  5. 5.
    Cover, T., Thomas, J.: Elements of Information Theory. Wiley, London (2006)MATHGoogle Scholar
  6. 6.
    Fan, X., Gao, W., Lu, Y., Zhao, D.: Flicking reduction in all intra frame coding. JVT-E070, Joint Video Team of ISO/IEC MPEG and ITU-T VCEG Meeting (2002)Google Scholar
  7. 7.
    Itani, Y., Watanabe, H.: A study on flicker reduction based on distinction between static and moving region in motion JPEG 2000. In: IEICE Technical Reports, vol. 105, pp. 77–82 (2005)Google Scholar
  8. 8.
    Kanumuri, S., Guleryuz, O.G., Civanlar, M.R., Fujibayashi, A., Boon, C.S.: Temporal flicker reduction and denoising in video using sparse directional transforms. In: Proceedings of SPIE, vol. 7073 (2008)Google Scholar
  9. 9.
    Kanumuri, S., Guleryuz, O.G., Civanlar, M.R., Fujibayashi, A., Boon, C.S.: Noise and/or flicker reduction in video sequences using spatial and temporal processing. US Patent 8,731,062 (2014)Google Scholar
  10. 10.
    Kuge, T.: Wavelet picture coding and its several problems of the application to the interlace HDTV and the ultra-high definition images. In: Proceedings. 2002 International Conference on Image Processing, vol. 3, pp. III-217–III-220 (2002). doi:10.1109/ICIP.2002.1038944
  11. 11.
    Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., Suetens, P.: Multimodality image registration by maximization of mutual information. IEEE Trans. Med. Imaging 16(2), 187–198 (1997)CrossRefGoogle Scholar
  12. 12.
    Russakoff, D., Tomasi, C., Rohlfing, T., Maurer, C.: Image similarity using mutual information of regions. Comput. Vis. ECCV 2004, 596–607 (2004)MATHGoogle Scholar
  13. 13.
    Shannon, C.: A mathematical theory of communication. ACM SIGMOBILE Mob. Comput. Commun. Rev. 5(1), 3–55 (2001)MathSciNetCrossRefGoogle Scholar
  14. 14.
    Subr, K., Soler, C., Durand, F.: Edge-preserving multiscale image decomposition based on local extrema. ACM Trans. Graph. (TOG) 28(5), 147 (2009)CrossRefGoogle Scholar
  15. 15.
    Tian, X., Jiao, L., Duan, Y., Zhang, X.: Video denoising via spatially adaptive coefficient shrinkage and threshold adjustment in surfacelet transform domain. SIViP 8(5), 901–912 (2014). doi:10.1007/s11760-012-0338-9 CrossRefGoogle Scholar
  16. 16.
    Viola, P., Wells III, W.: Alignment by maximization of mutual information. Int. J. Comput. Vis. 24(2), 137–154 (1997)CrossRefGoogle Scholar
  17. 17.
    Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600–612 (2004)CrossRefGoogle Scholar
  18. 18.
    Wu, H., Rao, K.: Digital Video Image Quality and Perceptual Coding. CRC, Boca Raton (2005)CrossRefGoogle Scholar
  19. 19.
    Yang, H., Boyce, J., Stein, A.: Effective flicker removal from periodic intra frames and accurate flicker measurement. In: ICIP 2008. 15th IEEE International Conference on Image Processing, pp. 2868–871 (2008). doi:10.1109/ICIP.2008.4712393
  20. 20.
    Yang, J., Park, J.B., Jeon, B.: Flickering effect reduction for H.264/AVC intra frames. In: Multimedia Systems and Applications IX (2006). doi:10.1117/12.689901

Copyright information

© Springer-Verlag London 2016

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringThapar UniversityPatialaIndia

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