High quality deinterlacing using content adaptive vertical temporal filtering

Kwon Lee, Chulhee Lee

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


In this paper, we propose a content adaptive vertical temporal filtering method for deinterlacing which effectively uses correlations between adjacent frames. The proposed method consists of two steps: the initial interpolation step and the enhancement step. During the initial interpolation step, missing lines were reconstructed by applying a modified content adaptive vertical temporal filtering (MCAVTF) method. The MCAVTF method is proposed to improve the classification accuracy of the video content. After the initial interpolation step, the reconstructed lines were refined by using an adaptive weighted vertical temporal filtering (AWVTF) method. A field averaging filter was also used to enhance stationary local regions. Since we did not use motion estimation, the proposed method was of low complexity. Experimental results show that the proposed method outperforms existing methods in terms of subjective and objective evaluations.

Original languageEnglish
Article number5681129
Pages (from-to)2469-2474
Number of pages6
JournalIEEE Transactions on Consumer Electronics
Issue number4
Publication statusPublished - 2010 Nov

Bibliographical note

Funding Information:
This work was supported by the Korea Science and Engineering Foundation (KOSEF) grant funded by the Korean government (MEST) (No.2009-0077978).

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Electrical and Electronic Engineering


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