The main theme of this thesis is an integrated de-interlacing system, which incorporates several known and improved techniques in a nice manner to produce good de-interlaced image quality. We first develop an accurate motion detector that classifies image regions into stationary, low-motion, and high-motion categories. The simple field merging method is applied to the stationary regions. The edge line average interpolation method is applied to the slow-motion regions. Finally, the motion-compensated interpolation is applied to the high-motion regions. In addition, hierarchical motion estimation and motion vector smoothing techniques are employed to enhance the quality of estimated motion vectors. Our computer simulation shows that the subjective image quality is improved by using the proposed scheme. Also, its PSNR measures are better than the conventional spatial or temporal interpolation schemes.

An_Intrgrated_De-interlacing_Algorithm_Design.pdf

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