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Real time image rotation using SoC architecture

This paper analyses two-dimensional image rotation algorithms on the basis of execution time and mean square error produced. Effect of forward and reverse mapping on algorithm complexity is discussed. Single and multipass algorithms have been analyzed. Various interpolation techniques including nearest neighbor, linear, cubic, sinc and cubic spline interpolation are applied to the problem of image rotation. Sinc and cubic spline produce good quality images but are computationally intensive and are not suitable for real time rotation applications. Overall performance of three pass algorithms is better than two pass algorithms as they have no signal contraction and interpolation can be obtained by convolution. The real time rotation algorithms were implemented on MDSP architecture for X-ray images.