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Research on Wavelet-Based Algorithm for Image Contrast Enhancement

机译:基于小波的图像对比度增强算法研究

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摘要

A novel wavelet-based algorithm for image enhancement is proposed in the paper. On the basis of multiscale analysis, the proposed algorithm solves efficiently the problem of noise over-enhancement, which commonly occurs in the traditional methods forcontrast enhancement. The decomposed coefficients at same scales are processed by a nonlinear method, and the coefficients at different scales are enhanced in different degree. During the procedure, the method takes full advantage of the properties of Human visual system so as to achieve better performance. The simulations demonstrate that these characters of the proposed approach enable it to fully enhance the content in images, to efficiently alleviate the enhancement of noise and to achieve much better enhancement effect than the traditional approaches.
机译:提出了一种基于小波变换的图像增强新算法。该算法在多尺度分析的基础上,有效解决了传统的对比度增强方法中常见的噪声过度增强问题。通过非线性方法处理相同尺度下的分解系数,不同尺度下的系数得到不同程度的增强。在该过程中,该方法充分利用了人类视觉系统的特性,从而获得了更好的性能。仿真表明,所提出方法的这些特征使其能够充分增强图像中的内容,有效地减轻了噪声的增强,并实现了比传统方法更好的增强效果。

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