1. A Hybrid Edge-Enhanced Motion Adaptive Deinterlacer By Marc Ramirez

2. Canon GL1 “Frame Mode” ~ 320 Vertical Lines Deinterlace from 60i into a 30p sequence High Quality, Noise Reduction, Edge & Detail Preservation, Moderate Complexity MC Recursive, VT Median, EDDI, BOB Best Approach Depends on Material Field AField BField C Frame 1 Problem Statement & Motivation

3. Initially Proposed Method Simonetti de Haan

4. Actual Method

5. Current DV Capture Cards Import 60i Sequences as Field-Merged 30p 1)Store First Three Fields (A,B,C) from Captured Frames1 & 2 2) Look at the SAD of Fields A & C, If Keep Original Frame * Ex. Mounted Camera Recording a Stationary Object; White Background 3)Detect Edges *Could Potentially Cause Problems

6. Two Types of Edge Detection EDDI Horizontal Emphasis Canny Method in Matlab Edge Function - Smoothing By Gaussian Convolution - 2D Derivative - Ridge Tracking of Gradient Magnitude

7. 4) Interpolate Along Found Edges - Step Through Known Lines Only - Pick a Test Block of Correct Length - Use SAD to Determine Best Match - If Interpolate - Use Nearest Neighbor if Between Pixels Known

8. 5) Fill In Static Areas IF AND Fill In With Previous or Average of Pixel P&N

9. 6) Detect If Slow Pixel Motion 7) Use Median Filter on Small Window B = SUM/|DIFF| for ( 4 Combinations) Med{E[A,F] E[B,E] E[C,D] E[G,H] lowB}

10. 8) Spatially Interpolate Remaining High-Motion Pixels 4 Tap Vertical Filter for Better Frequency Response Might Also Include a Horizontal Component

11. Conclusion/Future Changes Overall the Implementation is Less Computationally Expensive than MC with Pretty Nice Results The Algorithm Tries to Use the Proper Method Based on Simple Motion Detection Many Threshold Parameters -> Difficult to Set the Correct Thresholds for All Cases Could Later Implement EDDI Correctly on the Final Image Future Method Could Incorporate Motion Estimation Implement a Plug-in For Virtual Dub or AVISynth

12. References [1] R. Simonetti, S. Carrato, G. Ramponi and A.Polo Filisan, 'Deinterlacing of HDTV Images for Multimedia Applications', in Signal Processing of HDTV, IV, E. Dubois and L. Chiariglione, Eds., Elsevier Science Publishers, 1993, pp. 765-772. [2] G. de Haan and E.B. Bellers, ‘Deinterlacing -- An overview', Proceedings of the IEEE, Vol. 86, No. 9, Sep. 1998, pp. 1839-1857. [3] G. de Haan and R. Lodder, `De-interlacing of video data using motion vectors and edge Information', Digest of the ICCE'02, Jun. 2002, pp. 70-71. [4] G. de Haan, `Video processing for multimedia systems', ISBN: 90-9014015-8, Eindhoven Sep. 2000. [5] Y. Wang, J. Ostermann, and Y.Q. Zhang, ‘Video Processing and Communications’ Prentice Hall, 2002, ISBN 0-13-017547-1.