Application of Shape-Independent Orthogonal Transforms for Image Interpolation

Abstract

In the contribution we develop a new method for object-orientedinterpolation of images. It is an important tool in image processing,since using interpolation we can considerably decrease amount of data,necessary for image reconstruction. Application of this interpolationenables to down-sample the object separately. The selected object canbe processed at the different sampling level. This approach allowsobject oriented zoom, for example. Moreover, object - oriented approachis a very novel idea that helps to understand the content of image.Method is created from cosine approximation implemented to coding withshape - independent basis functions.