基于小波域对称填充的低带移运动估计

M. Fu, O. Au, Wing Cheong Chan
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引用次数: 6

摘要

低带移(LBS)是一种非常有效的计算和存储图像所有移位版本的小波系数的技术。克服了离散小波变换的位移变特性,使得直接在小波域中进行运动估计(LBSME)成为可能。然而,当边界小波块的运动向量指向图像边界之外时,LBSME的效果不佳。本文提出了一种LBSME- sp算法,将LBSME与对称填充相结合,以最大限度地减少边界不连续的影响。因此,对LBS结构进行了修改。仿真结果表明,所提出的LBSME-SP可以在只需要少量额外计算的情况下获得可观的PSNR增益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low-band-shift (LBS) motion estimation with symmetric padding in wavelet domain
Low-band-shift (LBS) is a very efficient technique to compute and store the wavelet coefficients of all the shifted versions of an image. It makes it possible to perform motion estimation (called LBSME) directly in wavelet domain overcoming the shift variant property of discrete wavelet transform. However, when motion vectors of boundary wavelet blocks point outside the image boundaries, LBSME does not work well. In this paper, we proposed an algorithm called LBSME-SP to combine LBSME with symmetric padding to minimize the effects of boundary discontinuities. Consequently, the LBS structure is modified. Simulation results suggest that the proposed LBSME-SP can give considerable PSNR gain with only minor additional computation.
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