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Enhancement of Video Sequence by Stabilization Technique


Affiliations
1 Department of Information Technology, Pondicherry Engineering College, Puducherry-605014, India
     

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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 give the finest results.

Keywords

Global Motion Estimation, Image Smoothing, Image De-Blurring.
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  • Enhancement of Video Sequence by Stabilization Technique

Abstract Views: 221  |  PDF Views: 2

Authors

M. Ezhilarasan
Department of Information Technology, Pondicherry Engineering College, Puducherry-605014, India
P. Vinoth Kumar
Department of Information Technology, Pondicherry Engineering College, Puducherry-605014, India
R. Nirmal Kumar
Department of Information Technology, Pondicherry Engineering College, Puducherry-605014, India
K. Srinivasan
Department of Information Technology, Pondicherry Engineering College, Puducherry-605014, India

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 give the finest results.

Keywords


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