Digital simulation of system theoretic algorithms applied to image compression

摘要: Image transforms are widely used for a variety of applications in image processing and analysis. In particular, the Karhunen-Loeve (K-L) transform has been extensively data redundancy reductions compression. The objective this research is to investigate use some system theory theory, large number algorithms have appeared reduction. paper, scale reduction considered. K-L technique reviewed. transformation by Davidson Chidambra applied constructing aggregation matrix. procedures suggested paper work better than approach, especially when there repeated eigenvalues. addition, proposed schemes applicable even cases which result complex eigenvalues original image.