快速运动估计的有损严格多级逐次消除算法

Yang Song, Zhenyu Liu, T. Ikenaga, S. Goto
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引用次数: 15

摘要

本文提出了一种简单有效的方法来进一步减少多级连续消除算法(MSEA)中的搜索点。由于大多数最佳匹配搜索位置的sea值远小于当前的最小SAD值,我们可以简单地增加计算sea值来提高消除比,而不会对编码效率产生太大影响。实验表明,与MSEA算法相比,本文提出的严格MSEA算法(SMSEA)在图像质量稳定的情况下,可以提供近6.5倍的加速,优于菱形搜索(DS)。在实际应用中,该技术也可用于细粒度SEA (FGSE)算法,并且可以通过类比跟踪计算过程
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Lossy Strict Multilevel Successive Elimination Algorithm for Fast Motion Estimation
This paper present a simple and effective method to further reduce the search points in the multilevel successive elimination algorithm (MSEA). Because the sea values for most of the best matching search positions are much smaller than the current minimum SAD, we can simply increase the calculated sea value to increase the elimination ratio without much affecting the coding efficiency. Compared with the MSEA algorithm, experiments show that the proposed strict MSEA algorithm (SMSEA) can provides almost 6.5 times speedup with stable image quality, which is better than diamond search (DS). In practice, the proposed technique can also be used in the fine granularity SEA (FGSE) algorithm and the calculation process can be traced by analogy
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Lossy Strict Multilevel Successive Elimination Algorithm for Fast Motion Estimation A Subpixel Image Matching Technique Using Phase-Only Correlation Phase Unwrapping of Self-mixing Signals Observed in Optical Feedback Interferometry for Displacement Measurement A Low-Power and Low-Noise Amplifier for 3-5GHz UWB Applications Automatic Image Annotation based-on Rough Set Theory with Visual Keys
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