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Hyperanalytic Thresholding

机译:HyperAlAlytic阈值

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摘要

A new thresholding criterion is introduced, and combined with a local function decomposition, to form an estimate of a deterministic image immersed in white noise. The purpose of the new threshold is to construct image estimates exhibiting continuity jointly across spatial location and spatial frequency. The new threshold criterion is based on the magnitudes of the local decomposition coefficients of the image and phase-shifted versions of the image. Two possible sets of phase-shifted versions are used, and suitable universal thresholds noted. The additional computational cost of the proposed procedure is minor, and thus it makes an attractive improvement to existing thresholding methodology. Examples are given where the reconstructed image, using the new threshold, has improved visual characteristics, as well as a reduced mean square error
机译:引入了新的阈值化标准,并与局部函数分解组合,形成浸入白噪声的确定性图像的估计。 新阈值的目的是构造在空间位置和空间频率上共同表现出连续性的图像估计。 新的阈值标准基于图像和相移图像的局部分解系数的幅度。 使用两组可能的相移版本,并注意到合适的通用阈值。 所提出的程序的额外计算成本很小,因此它对现有的阈值化方法具有吸引力地改善。 给出了使用新阈值的重建图像具有改善的视觉特征的示例,以及减少的平均方误差

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