1. Sejong University, DMS Lab. Ki-Hun Han AN EFFECTIVE DE-INTERACING TECHNIQUE USING MOTION COMPENSATED INTERPOLATION IEEE TRANSACTION ON Consumer Electronics, AUG. 2000 You-Young Jung, Byung-Tae Choi, Yung-Jun Park and Sung-Jea Ko 2005. 05. 03

2. Sejong University, DMS Lab.  A new de-interlacing algorithm using motion compensated interpolation is suggested  First, motion estimation is performed between the same parity fields  Then the motion vector is refined in the interpolation field  For further improvement, a five point median filter with temporal emphasis is used to reduce the interpolation error caused by incorrect motion

3. Sejong University, DMS Lab.  Current TV systems has visual artifacts such as an edge flicker, an interline flicker and line crawling  De-Interlacing which is a picture format conversion form interlaced to progressive picture has been widely used to reduce the those artifacts  HDTV systems support the progressive scan but camera and TV system still support the interlaced scan  Various de-interlacing techniques fixed vertical-temporal filtering[2], edge-based line average[4]-[5], motion adaptive techniques[6]-[7]

4. Sejong University, DMS Lab.  The basic concept of motion adaptive schemes is to select the appropriate interpolation method according to the motion of the image – spatial filtering in motion area and temporal filtering in static area  But, this approach is highly dependent on the accuracy of motion estimation  We propose a new de-interlacing scheme using the motion- compensated field interpolation and the field merging technique

5. Sejong University, DMS Lab.  The ELA-based technique is the most popular since it exhibit good performance with small computational load  The ELA algorithm uses the directional correlations between pixels to interpolate

6. Sejong University, DMS Lab.  ELA-based technique introduces flicker at motion area  One of solutions is motion compensation for inter-field processing  Before motion estimation, the previously de-interlaced field is inserted in the current missing field  Motion Estimation  Three-point median filter

7. Sejong University, DMS Lab. Ⅲ PROPOSED MOTION COMPESATED DE-INTERACING f n-1, f n and f n+1 denote the previous, current and next field, respectively

8. Sejong University, DMS Lab. Ⅲ -A The Motion Compensated Field Interplation

9. Sejong University, DMS Lab. Ⅲ -A The Motion Compensated Field Interplation  It is often observed that inconsistencies or non-smoothness in the estimated vector field decreases the interpolated picture quality  We present the proposed smoothing scheme: Let B and N i, where i=1,2,…,8 denote the current block and the eight nearest neighboring blocks around B in the interpolated field

10. Sejong University, DMS Lab. Ⅳ FURTHER IMPROVEMENTS  The performance of the MCFI is satisfactory if the motion vectors are accurate and reliable. However, when the estimated motion vector is incorrect, the interpolated picture quality can be degraded  In this case, the intra-field interpolation using spatial information might be more reliable  The proposed scheme uses a five-point median filter for intra and inter-field interpolation

11. Sejong University, DMS Lab. Ⅴ EXPERIMENTAL RESULTS  For motion estimation, the block size is 16x8, search range for initial motion estimation is ±8, and the search range for refinement of the initial motion vector is ±2

12. Sejong University, DMS Lab. Ⅴ EXPERIMENTAL RESULTS

13. Sejong University, DMS Lab. Ⅴ EXPERIMENTAL RESULTS Performance of de-interlacing methods on Flower garden sequence