Singular Value Decomposition Based Sub-band Decomposition and Multiresolution (SVD-SBD-MRR) Representation of Digital Colour Images

Contemporary digital image processing applications require a suitable tool for further applications and processing. in this paper, a singular value decomposition (svd) based new sub-band decomposition and multi-resolution representation of digital colour images is proposed. simulation was performed using matlab on lenna image and the resultant sub-bands, which contained different directional details, are shown. through a quantitative analysis, it is justified that the proposed method is better than other contemporary methods as it is suitable for compression and other image processing applications