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This paper presents a novel de-interlacing algorithm leveraging motion compensated interpolation. It starts with motion estimation between parity fields and refines the motion vectors in the interpolation field. To further enhance performance, a five-point median filter with temporal emphasis is employed to mitigate interpolation errors from incorrect motion estimation. The method addresses common visual artifacts such as edge flicker and line crawling in interlaced formats, providing a robust solution for current HDTV systems that still operate on interlaced scans.
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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
< Abstract > • 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
< ⅠINTRODUCTION > • 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]
< ⅠINTRODUCTION > • 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
<ⅡDE-INTERLACING TECHNIQUES> • 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
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
Ⅲ PROPOSED MOTION COMPESATED DE-INTERACING • fn-1, fn and fn+1 denote the previous, current and next field, respectively
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 Ni, where i=1,2,…,8 denote the current block and the eight nearest neighboring blocks around B in the interpolated field
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
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
Ⅴ EXPERIMENTAL RESULTS Performance of de-interlacing methods on Flower garden sequence