Adaptive Hybrid De-interlacing Technique With Two Field Image Construction
碩士 === 國立交通大學 === 電機學院碩士在職專班電機與控制組 === 97 === This thesis presents an adaptive deinterlacing algorithm that switches the deinterlacing policies between motion compensation and edge-directed interpolation. The motion- compensation-based deinterlacing is one of the most advanced approaches among deint...
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| Format: | Others |
| Language: | zh-TW |
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2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/13139409090190788618 |
| Summary: | 碩士 === 國立交通大學 === 電機學院碩士在職專班電機與控制組 === 97 === This thesis presents an adaptive deinterlacing algorithm that switches the deinterlacing policies between motion compensation and edge-directed interpolation. The motion- compensation-based deinterlacing is one of the most advanced approaches among deinterlacing techniques in that motion compensation can produce better quality on vertical details than the others. However, when the motion estimation is inaccurate the deinterlacing might result in blocking effects. The blocking effects can be dismissed by the edge-directed interpolation. Therefore, this thesis proposes an adaptive hybrid deinterlacing technique for two-field image reconstruction. The hybrid deinterlacing algorithm is based on two-field motion estimation and adaptive motion decision system. The adaptive motion decision system counts the variation of neighborhood motion vector and SAD to evaluate the error of motion estimation. This can help the deinterlacing to avoid from the interlace artifacts. In the edge-directed interpolation, this thesis presents the sub-pixel interpolation scheme to smooth the edge of object and reduce serration on edges. The experiment results show that the proposed algorithm can produce better video quality than conventional methods by 2 dB of PSNR while the computational complexity is low.
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