Techniques for area-time efficient image rotation

Real-time image rotation is a necessary task in many vision based applications. Most available image rotation architectures are serial in nature, while the existing parallel techniques suffer from computational bottlenecks, limiting their performance. In this paper, we propose techniques that not only speed up the rotation process but also reduce area, yielding an area-time efficient architecture. They exploit properties of symmetry in image coordinates for parallel image rotation. We show that the number of computations, the total computation time and area cost of the proposed architecture are lesser by as much as 80%, 55% and 67% respectively when compared to the most efficient parallel architecture in recent literature.