Abstract
Due to their multiresolution signal decomposition, wavelet analysis has shown great success in the analysis of signals such as image processing and video coding. The recent progress in 3D spatio-temporal wavelet video coding led to the emergence of a new generation of scalable video schemes. In fact, much attention has been given to t+2D analysis where temporal redundancy is first exploited through a motion compensated multiresolution decomposition and the resulting temporal subband frames are then spatially decomposed with a wavelet transform. This paper presents a high-level implementation of a video coding chain based on MCTF temporal filtering and spatial block processing. In order to evaluate the overall system performance, a comparative study was conducted to choose the adequate block-matching algorithm during the temporal filtering steps. Evaluation of the quality of the reconstructed frames based on the compression ratio was done with spatial analysis based on 5/3 and 9/7 wavelet. Simulation results show that the proposed video coding has a notable performance in terms of compression ratio and quality, also some advantages provided by the choice of the temporal-filtering equation allow to reduce the computational complexity and reduce the amount of memory occupied during the video encoding/decoding process compared to classical temporal 5/3-MCTF filtering.