Intensity Gradient Filter and Median Filter based Video Sequence Deinterlacing Using Texture Detection 


Vol. 34,  No. 4, pp. 371-379, Apr.  2009


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  Abstract

In this paper, we proposed new de-interlacing algorithm for video data using intensity gradient filter and median filter with texture detection in the image block. We first introduce the texture detection. According to texture detection, the current region is determined into smooth region or texture region. In case that the smooth region interpolated by median filter. In addition, in case of the texture region, we calculate missing pixel value using intensity gradient filter. Therefore, we analyze the local region feature using the texture detection and classify each missing pixel into two categories. And then, based on the classification result, a different de-interlacing algorithm is activated in order to obtain the best performance. Experimental results show that the proposed algorithm performs well with a variety of moving sequences compared with conventional intra-field method in the literature.

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  Cite this article

[IEEE Style]

K. Kang, S. Ku, J. Jeong, "Intensity Gradient Filter and Median Filter based Video Sequence Deinterlacing Using Texture Detection," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 4, pp. 371-379, 2009. DOI: .

[ACM Style]

Kunhwa Kang, Suil Ku, and Jechang Jeong. 2009. Intensity Gradient Filter and Median Filter based Video Sequence Deinterlacing Using Texture Detection. The Journal of Korean Institute of Communications and Information Sciences, 34, 4, (2009), 371-379. DOI: .

[KICS Style]

Kunhwa Kang, Suil Ku, Jechang Jeong, "Intensity Gradient Filter and Median Filter based Video Sequence Deinterlacing Using Texture Detection," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 4, pp. 371-379, 4. 2009.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880