Abstract
This paper presents an extension of multiplication skeleton/texture separation, and its applications to image processing. This separation method decomposes a given input image into three components: a skeleton component, a texture-generator, and a residual component. By applying proper image processing techniques to each of the three separated components, we construct advanced new image processing algorithms for interpolation and de-noising.