Authors : K. Lakshmi Narayanan and G.P. Ramesh
Abstract: In this research, the Multi-band wavelet transform based Image compression and Image reconstruction is designed and implemented in terms of VLSI design environment. Wavelet transform is one of the main parts of the compression and reconstructions. The multiband wavelet transform is used instead of the conventional wavelet transforms. By using the multi-band wavelet transform, the image resolution is efficient and the requirements of the filters are minimum compare than the conventional transform based image compression. Image reconstruction is used to recover the original image from the compressed coefficients for the efficient image processing. The conventional method for image reconstruction is required the entire sub bands for reconstruction process. Multi-band wavelet transform based image compression is mainly used to reduce the number of redundant bits utilization as well as the better image resolution is highly achieved by using the multiband wavelet transform. The image is compressed in terms of MATLAB design environment and also the wavelet transform is performed by using VLSI design environment. The number of filter used is mainly decreased by using multiband wavelet transform based image compression and also the requirement of the interpolation filters are eliminated by using the image reconstruction.
K. Lakshmi Narayanan and G.P. Ramesh, 2017. VLSI Architecture for Multi-Band Wavelet Transform based Image Compression and Image Reconstruction. Journal of Engineering and Applied Sciences, 12: 6281-6285.