Three-Dimensional Video Compression using Motion Estimation-Compensation and Discrete Wavelet Transform

Internet data almost double every year. The need of multimedia communication is less storage space and fast transmission. So, the large volume of video data has become the reason for video compression. The aim of this paper is to achieve temporal compression for three-dimensional (3D) videos using motion estimation-compensation and wavelets. Instead of performing a two-dimensional (2D) motion search, as is common in conventional video codec’s, the use of a 3D motion search has been proposed, that is able to better exploit the temporal correlations of 3D content. This leads to more accurate motion prediction and a smaller residual. The discrete wavelet transform (DWT) compression scheme has been added for better compression ratio. The DWT has a high-energy compaction property thus greatly impacted the field of compression. The quality parameters peak signal to noise ratio (PSNR) and mean square error (MSE) have been calculated. The simulation results shows that the proposed work improves the PSNR from existing work.