Scheme for compressing video data employing wavelets and 2D-PCA

Abstract

In this paper, we have presented a novel scheme for the compression of video data that employs a combination of wavelets and 2-dimensional principal component analysis. In this method the accordion matrices constructed from group of consecutive video frames are subjected to multi-resolution decomposition using wavelet. Subsequently, 2D-PCA is applied on the set of decomposed accordion matrices at each level of resolution. The compressed form of the video data finally consists of representative pairs of resolution-specific principal components and projection vectors. The method has been implemented and tested on a set of real video data and the results have been assessed on both qualitative and quantitative basis by measuring parameters like compression ratio (CR), peak signal to noise ratio (PSNR), structural similarity index measurement (SSIM) and the overall performance is found to be satisfactory.