基于二进小波变换的图像增强技术

A Technique of Image Enhancement Based on the Dyadic Wavelet Transform

文章给出了图像的二进小波分解与重构,通过理论分析和实验研究了基于二进小波变换的图像子带增强算法,重点是二进小波基的选取以及图像分解层次对图像中目标边缘增强的影响研究。二进小波变换提供平移不变表示,导致完备的高频分量适于图像增强,实验结果表明,二进小波变换增强方法可以减少噪声的放大,在增强图像微小细节和避免放大噪声两方面获得令人满意的结果。

In this paper are given the decomposition and reconstruction of the image dyadic waveletand the study of the image sub-band enhancement algorithm based on the dyadic wavelet transform, with the focus on the design of the dyadic wavelet filters and on the the image decomposition level that influences the enhancement of the target edge in image. The dyadic wavelet transform is suitable for the enhancement of images since it has a shift-invariant property. The experiments results in that the dyadic wavelet enhancement in this paper can reduce the amplification of noise and achieve an excellent balance between the enhancement of subtle image detail and the avoidance of noise amplification.