The Functional Analysis of Wavelet Transformation along with Lifting Scheme for Image Compression

In image compression to reduce the redundant data and to reduce the size of the processed image as compared to the original image. As compared to the other conventional lossy compression techniques used, the proposed technique is lossless image compression for both continuous and discrete time cases. The Integer wavelet transformation for speeding up the computation time and reducing the size of the image. We perform the wavelet packet transform (WPT) and then the lifting scheme (LS) are can be constructed by iterating the single wavelet decomposition step on both low pas as well as high pass branches by the bi-orthogonal wavelets. The performance in terms of encoding and decoding time, the peak signal to noise ratio (PSNR), and better compression ratio (CR). The implementation of the lifting scheme the speed up mechanism is possible, thus facilitating a superior image compression lossless model. The project work attempts to highlight the performance analysis of such IWT image compression technique using proposed lifting scheme.