Open Access Open Access  Restricted Access Subscription or Fee Access

Enhancement of Video Sequence by Stabilization Technique

Dr. M. Ezhilarasan, P. Vinoth Kumar, R. Nirmal Kumar, K. Srinivasan

Abstract


Video Enhancement is a wide range of techniques which is used to boost the quality of the video. Video stabilization removes the redundant motion fluctuations present in the video. In this paper, we present a practical method to remove the annoying shaky motion and restructure a stabilized video sequence with good visual quality. Typically, this is achieved by applying a certain amount of corrective motion displacement onto each video frame, such that to cancel the effect of high frequency fluctuations. We present an algorithm for video stabilization comprising three operations: Global Motion Estimation, Image Smoothing, and Image
De-Blurring. The experimental results show the capability of the proposed algorithm to reduce the unwanted motion and proved to nmgive the finest results.


Keywords


Global Motion Estimation, Image Smoothing, Image De-Blurring.

Full Text:

PDF

References


M. Rehan, M. Watheq El-Kharashi, P. Agathoklis, F. Gebali, “An FPGA Implementation of the Flexible Triangle Search Algorithm for Block Based Motion Estimation,” International Symposium on Circuits and Systems, pp. 521–524, September 2006.

Ioannis Patras, “Probabilistic Confidence Measures for Block Matching Motion Estimation,“ IEEE transactions on circuits and systems for video technology, vol. 17, no. 8, August 2007.

Shen-Chuan Tai, Ying-Ru Chen, Zheng-Bin Huang, and Chuen-Ching Wang, “A Multi-Pass True Motion Estimation Scheme With Motion Vector Propagation for Frame Rate Up-Conversion Applications,“Journal of display technology, vol. 4, no. 2, pp. 188-197, June 2008.

M.C. Kung, Oscar C. Au, P.H.W. Wong, Chun Hung Liu, "Block Based Parallel Motion Estimation Using Programmable Graphics Hardware,"International Conference On Audio, Language And Image Processing,pp. 599-603, April 2008.

Golam Sorwar, "Fast Block-Based True Motion Estimation Using Distance Dependent Thresholds, “Journal of Research and Practice in Information Technology, vol. 36, no. 3, August 2004.

Jozef Huska , Peter kulla, "A New Block Based Motion Estimation with True Region Motion Field,” The International Conference on Computer as a Tool, pp. 182-188, September 2007.

Andy Backhouse, Irene Y. H. Gu , Tiesheng Wang ," ML nonlinear smoothing for image segmentation and its relationship to the mean shift," International conference on Image Processing, vol IV,pp. 337 – 340, 2007.

Gang Dong, Scott T. Acton, “On the Convergence of Bilateral Filter for Edge-Preserving Image Smoothing,“ IEEE signal processing letters, vol.14, no. 9, September 2007.

Xiaoping Chen, Shengsheng Yu and Zhilong Ma , “An Improved Mean Shift Algorithm for Moving Object Tracking,“ Proceedings of the 7th World Congress on Intelligent Control and Automation ,June 25 - 27,2008.

Moshe Ben-Ezra and Shree K. Nayar, "Motion-Based Motion Deblurring," IEEE transactions on pattern analysis and machine intelligence, vol. 26, no. 6,pp. 689-698, June 2004.

Jia Chen, Lu Yuan, Chi-Keung Tang, Long Quan, "Robust Dual Motion Deblurring,“, International Journal of Computer Vision,”vol. 59, no. 2, September 2008.

Feng Li ,Jingyi Yu , Jinxiang Chai ," A Hybrid Camera for Motion Deblurring and Depth Map Super-Resolution," IEEE transactions on pattern analysis and machine intelligence, 2008.


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.