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Sponsored by the Center for Science and Technology Development of the Ministry of Education
Supervised by Ministry of Education of the People's Republic of China
This paper develops a new method for image interpolation by constructing fitting surfaces to discrete image data. Usually, the image data is obtained by area sampling which can reduce the accuracy of the interpolation. So the point sampling values must be computed first, then a polynomial surface patch is obtained by the Lagrange method to approximate the local original continuous image surface. The whole image surface is constructed by combining all the local region surfaces with weighted functions. The experiments for testing the efficiency of the new method show that the interpolated images produced by the new method have higher precision and better quality than normal method, such as bi-cubic, and have no loss of image brightness.