Evaluation of De-Interlacing Techniques for 1080i HDTV

The paper presents the evaluation and grading of different techniques that are in use today for the de-interlacing of High Definition interlaced content. S2 (1080i/25) is one of the standards for High Definition Television (HDTV) that is broadcasted in Europe, USA and other parts of world. Different de-interlacing techniques starting from basic ones like line averaging, field insertion to advanced ones like motion adaptive and motion compensation are reviewed. These techniques are evaluated using objective video quality metrics like Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and more advanced one like Structural Similarity (SSIM). Subjective evaluation is carried out using perception based subjective video quality metric (Mean Opinion Score). The comparison of subjective and objective results shows that there is a high correlation among the subjective scores and the objective criterion.

[1]  M. Nicolas,et al.  Metrics to Evaluate The Quality of Motion Compensation Systems in De-interlacing And Up-conversion Applications , 2008, 2008 Digest of Technical Papers - International Conference on Consumer Electronics.

[2]  Mei-Juan Chen,et al.  Efficient de-interlacing technique by inter-field information , 2004, IEEE Transactions on Consumer Electronics.

[3]  H.R. Wu,et al.  A median based interpolation algorithm for deinterlacing , 2004, Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, 2004. ISPACS 2004..

[4]  Liang-Gee Chen,et al.  Motion adaptive interpolation with horizontal motion detection for deinterlacing , 2003, IEEE Trans. Consumer Electron..

[5]  Arun N. Netravali,et al.  Time-recursive deinterlacing for IDTV and pyramid coding , 1990, Signal Process. Image Commun..

[6]  Hans Hoffmann,et al.  A Novel Method for Subjective Picture Quality Assessment and Further Studies of HDTV Formats , 2008, IEEE Transactions on Broadcasting.

[7]  Xinbo Gao,et al.  De-interlacing algorithms based on motion compensation , 2005, IEEE Trans. Consumer Electron..

[8]  Gwo Giun Lee,et al.  A Motion-Adaptive Deinterlacer via Hybrid Motion Detection and Edge-Pattern Recognition , 2008, EURASIP J. Image Video Process..

[9]  Hoon Yoo,et al.  Direction-oriented interpolation and its application to de-interlacing , 2002, IEEE Trans. Consumer Electron..

[10]  Seungjoon Yang,et al.  Motion compensation assisted motion adaptive interlaced-to-progressive conversion , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[11]  Chein-Wei Jen,et al.  Motion detection and motion adaptive pro-scan conversion , 1991, 1991., IEEE International Sympoisum on Circuits and Systems.

[12]  Sung-Hoon Hong,et al.  Deinterlacing method based on edge direction refinement using weighted median filter , 2009, 2009 IEEE International Conference on Signal and Image Processing Applications.

[13]  Liang-Gee Chen,et al.  Extended intelligent edge-based line average with its implementation and test method , 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

[14]  Erwin B. Bellers,et al.  Deinterlacing-an overview , 1998, Proc. IEEE.