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Efficient Hybrid Motion Compensated Adaptive De-interlacing Algorithm for Video Post Processing
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Recently, the apparatus for displaying progressive images has been popular, the past CRT TV has been replaced with the advanced apparatus, such as LCD TVs; however, the software upgrades often lies behind the hardware. In order to let interlaced images be broadcasted on the advanced apparatus smoothly, in the industry or academia, lots of de-interlacing algorithms are presented. In these algorithms, there are complicated schemes and simple methods, and some of these algorithms can be easily realized with hardware. Even though these de-interlaced algorithms perform their own unique characteristics, the purpose is that interlaced images can be effectively and excellently viewed on advanced apparatuses. In this thesis, a de-interlacing algorithm which uses hybrid and adaptive motion compensated scheme is proposed for the video post processing. For easy implementation, the methods which are simple to use are applied to design our de-interlacing algorithm, and we fetch advantages from the previous algorithms and improve the part which performs defects. For example, the three-field motion detection is generally used for the previous motion adaptive de-interlacing methods, and its great shortcoming is that the detection of the fast moving object usually causes lost pixels, and it makes the object unable to demonstrate the correct and sharp image. Thus, an improved three-field motion detection algorithm is developed. The purpose of the detection is to strengthen the accuracy and to judge whether the image moves or not, and the proposed detection does not need complicated operations. In order to increase picture quality frequently, the motion compensated algorithms are used to look for the best block of interpolation, but it leads to consume a lot of system resources for using the motion estimator. Especially when the number of reference fields is large, the spent time is not directly proportional to the quality of de-interlaced images. Thus, we use the proportion concept to judge whether the matched block uses the motion estimator or not, and the purposes are to increase the efficiency and not to lose the picture quality. Finally, we use a three-dimensional edge-based line average scheme for the non motion compensated parts. It performs good efficiency for the interpolation of edge lines and it is also simple and easy to realize. By jointly using these algorithms, not only the picture is apparent and sharp naturally, but also the proposed algorithm performs smoother sideline parts and has better efficiency than the algorithms with mere motion compensated scheme.
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