Neural Network Based Correction Scheme for Image Interpolation

Authors:
Liyong Ma;Yi Shen;Jiachen Ma
Affiliations:
School of Information Science and Engineering, Harbin Institute of Technology at Weihai, Weihai 264209, P.R. China;School of Information Science and Engineering, Harbin Institute of Technology at Weihai, Weihai 264209, P.R. China;School of Information Science and Engineering, Harbin Institute of Technology at Weihai, Weihai 264209, P.R. China
Venue:
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Year:
2007

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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.