Fine Directional De-interlacing Algorithm 


Vol. 32,  No. 3, pp. 278-286, Mar.  2007


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  Abstract

In this paper, an efficient algorithm is proposed for the interpolation of interlaced images. First of all, by efficiently estimating the directional spatial correlations of neighboring pixels, increased interpolation accuracy can be achieved. And then using the gradient vector which was obtained by Sobel operation, enables to consider the fine directional edges and make it possible to estimate the accurate direction of edges. In other words, it is possible to interpolate the interlaced images with considering the characteristics of images. In addition, by altering the conventional edge detector for the purpose of a easy De-interlacing and multiplying the optimal translation coefficients to each of the gradient vectors, an efficient interpolation for images can be achieved. Comparing with the conventional De-interlacing algorithms, proposed algorithm not only reduced the complexity but also estimated the accurate edge direction and the proposed scheme have been clearly verified that it enhances the objective and subjective image quality by the extensive simulations for various images.

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  Cite this article

[IEEE Style]

S. Park, S. Jin, J. c. Jeong, "Fine Directional De-interlacing Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 3, pp. 278-286, 2007. DOI: .

[ACM Style]

Sangjun Park, Soonjong Jin, and Je chang Jeong. 2007. Fine Directional De-interlacing Algorithm. The Journal of Korean Institute of Communications and Information Sciences, 32, 3, (2007), 278-286. DOI: .

[KICS Style]

Sangjun Park, Soonjong Jin, Je chang Jeong, "Fine Directional De-interlacing Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 3, pp. 278-286, 3. 2007.