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ESTIMATION BASED VIDEO STABILIZATION FOR OLD ANIMATION VIDEO USING WAVELET TRANSFORM

Video stabilization is one of the important techniques in video restoration researches. Restoration of visual quality in old animation video is necessary due to some artefacts occur since the making of the animation is involving hand-drawn pictures followed by capturing step by camera. These artefacts lead to the unsteadiness and image vibration of the animation scene even in steady condition of capturing step. Video stabilization method aims to reduce those artefacts. This paper proposes video stabilization algorithm in old animation video based on motion estimation. The motion estimation technique employs coarse to fine method based on wavelet transform. The proposed video stabilization algorithm includes local motion estimation, global motion estimation, motion smoothing, and motion compensation. The superior performance of our algorithm over other method for video stabilization in old animation video is demonstrated through simulated experiment. The phase-correlation based algorithm presents ITF increments of about 0.74 -4.56 %, while our proposed algorithm improvements in the ITF of about 4.3718.53 %.