Cellular architecture for affine transforms on raster images

Abstract

The paper deals with the implementation of 2D affine transform operators as a sequence of window shift operations. The window shift operations shift a specified window by one pixel to either left, right, top or bottom. An architecture, dealing with only binary images, is proposed for an intelligent video memory which can perform the affine transformations on selected parts of a raster image. The architecture has been simulated and its performance evaluated on a number of sample images. Each window shift operation is executed in one clock cycle which facilitates use of the proposed architecture for real-time applications.