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Adaptive partial block matching algorithm for fast motion estimation using histogram-based adaptive matching order is presented. By capturing the representative pixels, block matching distortion will be maximized enough during the block matching. For this reason, partial block matching is available instead of full block matching which is also known as full search algorithm.
This paper investigates a new interpolation technique based on content adaptive interpolation with fuzzy reasoning. The proposed technique reduces image artifacts in regions where moving object cannot be well traced by motion estimation. Our proposed method consists of two parts: content classification and fuzzy weight assignment process. The spatial deinterlacing methods have been studied excessively...
Nowadays the deinterlacing algorithm is using for converting the interlaced scan to progressive scan in HDTV system. The reason that the deinterlacing algorithm is necessity for this system is to prevent the serious distortion like flickering in fast motion. This paper presents an efficient deinterlacing algorithm that uses Wiener filter to detect the reliable direction of edge. With this algorithm...
In this paper, an efficient algorithm for the fast full search is proposed to reduce the computational cost of block matching algorithm for motion estimation in video coding. Based on the characteristic of the pixel histogram for the current macroblock, the proposed fast matching method adaptively sorts the matching order pixel-by-pixel for each macroblock. Also, partial distortion elimination (PDE)...
In this paper, an adaptive fast full search algorithm is proposed. The fast full search algorithm only reduces the complexity of the block matching algorithm used for motion estimation of video coding. Since the spiral search method used in conventional algorithms starts searching at the center of the search range and then moves the candidate position to estimate motion pixel by pixel, it is best...
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