Abstract
A generalized regression neural network based error correction scheme for linear image interpolation approach is proposed. A middle image with the same size of source image is obtained by interpolating a down-sampled image from the source image. Then neural network is established with employing the interpolation error between the source image and the middle image. Finally interpolation correction is applied to the linear interpolation result of source image using neural network estimation to obtain more accuracy result image. Experimental results of the proposed approach demonstrate the effectiveness of the scheme. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Ma, L., Shen, Y., & Ma, J. (2007). Neural network based correction scheme for image interpolation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4493 LNCS, pp. 840–845). Springer Verlag. https://doi.org/10.1007/978-3-540-72395-0_103
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