Abstract
A new pixel-by-pixel (PBP) cubic image interpolation algorithm that preserves image edges is suggested in this paper. The PBP approach is based on optimizing the standard cubic image interpolation formula at each estimated pixel. Thus, the mean square error (MSE) in the entire image is minimized. A study of the effect of optimizing the cubic image interpolation formula with respect to the separated or combined parameters of the formula is presented The optimum values of the parameters are estimated iteratively at each pixel. The performance of the suggested approach is tested in the presence of different noise levels and is compared with the traditional warped distance adaptive image interpolation technique. The obtained results proves the superiority of the suggested PBP cubic image interpolation algorithm as compared to the traditional algorithm from both of the MSE and edge preservation points of view.
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