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Image Enhancement via Space-Adaptive Lifting Scheme Using Spatial Domain Adaptive Wiener Filter

机译:使用空间域自适应维纳滤波器通过空间自适应提升方案提升

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This paper proposes an image enhancement method which is based on space-adaptive lifting scheme. The space-adaptive lifting scheme is designed with update-first strategy and the spatial domain adaptive Wiener filter is used for subband image enhancement. The space-adaptive lifting scheme is superior to the scale-adaptive one in that, the prediction stage is adapted to the signal structure pixel-by-pixel (not scale-by-scale) which results in a better signal representation and better image enhancement. A novel adaptive prediction method is proposed in the 2-D lifting scheme. The method adoptively chooses the best prediction filter (predictor), among a set of predictors, based on minimizing the prediction error (or detail coefficient). The experimental results and objective quality test results prove the accomplishment of the proposed image enhancement method.
机译:本文提出了一种基于空间自适应提升方案的图像增强方法。空间自适应提升方案设计利用更新 - 第一策略,并且空间域自适应维纳滤波器用于子带图像增强。空间自适应提升方案优于刻度自适应,其中,预测阶段适用于信号结构像素(不是逐刻度),这导致更好的信号表示和更好的图像增强。在2-D提升方案中提出了一种新的自适应预测方法。基于最小化预测误差(或细节系数),该方法在一组预测器中,该方法采用了最佳预测滤波器(预测器)。实验结果和客观质量测试结果证明了提出的图像增强方法的实现。

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