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Image enhancement method based on fractional wavelet transform

机译:基于分数小波变换的图像增强方法

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The characteristic of the subband coefficients of the discrete fractional wavelet transform (DFRWT) vary with the change of the order p should be utilized in this paper. The original image is decomposed by DFRWT in different p order near p=1, and the mode subband coefficients have changed slightly with the comparison of DWT(p=1). In order to make the result of image enhancement selective, the paper presents a new image enhancement technique based on DFRWT and adaptive threshold algorithm. Experimental results show that the proposed methods effectively promote the enhancement effect in details compared to the result of the order p=1, objective evaluation is of Contrast Improvement Index(CII) are obviously improved.
机译:离散分数小波变换(DFRWT)的子带系数的特性随阶次p的变化而变化。 DFRWT在p = 1附近以不同的p阶分解原始图像,并且与DWT(p = 1)的比较,模式子带系数略有变化。为了使图像增强的结果具有选择性,提出了一种基于DFRWT和自适应阈值算法的图像增强新技术。实验结果表明,所提出的方法与p = 1阶的结果相比,在细节上有效地增强了增强效果,对客观评价的对比度改善指数(CII)有明显改善。

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