A comparative performance analysis of DCT-based and Zernike moments-based image up-sampling techniques

Abstract

The DCT-based image up-sampling methods are very effective and simple for image super-resolution in the DCT domain. We compare the performance of three major DCT-based image interpolation methods and propose Zernike moments (ZMs)-based up-sampling method. The ZMs-based up-sampling has many useful characteristics which have been described in this paper. Two of the main characteristics are as follows. First, it represents a set of large number of orthogonal basis functions which represent fine details in the image, thus preserving important image structures. Second, the ZMs coefficients represent the edge details in any orientation whereas the DCT encodes the edge details along horizontal and vertical directions. Detailed experimental results demonstrate the superior performance of the ZMs-based up-sampling approach as compared to the DCT-based approaches.