Image enhancement via space-adaptive lifting scheme using spatial domain adaptive Wiener filter

H. Tasmaz, E. Erçelebi
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引用次数: 2

Abstract

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 2D lifting scheme. The method adaptively 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.
基于空间域自适应维纳滤波的空间自适应提升方案图像增强
提出了一种基于空间自适应提升方案的图像增强方法。采用更新优先策略设计空间自适应提升方案,采用空域自适应维纳滤波器进行子带图像增强。空间自适应提升方案优于尺度自适应提升方案,其预测阶段是逐像素地(而不是逐尺度)适应信号结构,从而获得更好的信号表示和图像增强效果。在二维提升方案中,提出了一种新的自适应预测方法。该方法基于最小化预测误差(或细节系数),自适应地从一组预测器中选择最佳的预测滤波器(预测器)。实验结果和客观质量测试结果证明了所提出的图像增强方法的有效性。
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