Yasuo Takehisa

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This paper proposes the adaptive wavelet transform for lossless (reversible) data compression using genetic algorithm (GA). In the proposed method, the lifting scheme (LS), which is the latest implementation method of wavelet transformation, is adopted for lossless compression, and GA optimizes the prediction mechanism used in LS according to the(More)
In this paper, we propose a method to efficiently reduce computational cost of the improved super-resolution method that achieves dense motion estimation using overlapped block matching. We focus on statistics of motion vectors allocated to a small cell, and conjoin the calculation for same motion vectors in the optimization process. This method can reduce(More)
In this work, we investigate on frame interpolation using motion vectors for moving pictures. Motion vectors obtained by block matching between two existing frames are used to interpolate non-existent frames in the original video sequence. In our approach, we adopt (i) sub-pixel motion estimation, (ii) MAP estimation, and (iii) overlapped block matching(More)
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