Robust Block-Based Motion Estimation for Image Reconstruction Using Bi-direction Confidential
Files (Excerpt)
Issued Date
2014
Genre
Language
eng
File Type
application/pdf
No. of Pages/File Size
5 pages
Citation
2014 International Symposium on Communications and Information Technologies (ISCIT), 186-190
Title
Robust Block-Based Motion Estimation for Image Reconstruction Using Bi-direction Confidential
Author(s)
Other Contributor(s)
Abstract
In block-based motion estimation where the
outcome of the motion vector (MV) is used to reconstruct the
image, noise is one of the major problems that impact the quality
of the performance in image reconstruction. There are several
aspects to improve the quality of the reconstructed image but we
focus on improvement of the accuracy in MV from existing
block-based motion estimation algorithms when they applies our
proposed model only without other any additional models.
Because we would like to prove that our proposed model
improves an accuracy of the MV that it leads to the better
quality of the reconstructed image as a result. This paper
presents robust block-based motion estimation where bidirection
confidential model is applied over the existing blockbased
motion estimation algorithm to improve the accuracy of
the MV itself. In the experiment where we simulated several
Additive White Gaussian Noise (AWGN) levels over several
experiment sequences, we found that the proposed model
improved the quality of the reconstructed image when it is
applied over several existing block-based motion estimation
algorithms. In our experiment, we evaluated the quality of
reconstructed image by using Peak Signal to Noise Ratio (PSNR).