基于小波多尺度的图像增强新算法

2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI:10.1109/ICINIS.2010.129

Yan Qi, Li Ren

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引用次数: 7

摘要

传统的图像增强算法是在增强图像对比度的同时增强图像的噪声。因此，降噪是必要的。小波增强考虑的是图像信号的空间域和频域，而不是视觉的非线性。针对图像增强中存在的噪声增强问题，通过分析小波对信号和噪声规律的影响，提出了一种基于小波多尺度的图像增强算法。利用小波系数在不同尺度上的相关性和小波的频率定位，有效地分离了噪声和图像信息。它可以在增强图像特征的同时减轻噪声的放大。

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Novel Image Enhancement Algorithm Based on Wavelet Multiscale

Traditional algorithm of image enhancement enhances the contrast grade and noise of image at the same time. So, noise reduction is needed. Wavelet enhancement considers the spatial domain and frequency domain of image signal, but not the nonlinearity of vision. Aim at the problem of enhanced noise in image enhancement, a new algorithm for image enhancement based on wavelet multiscale is proposed by analyzing the effects of wavelet on signal and noise regularity. Making use of the correlation of the wavelet coefficient from different scales and the frequency localization of wavelet, the noise and image information is divided effectively. It can alleviate the noise amplification while enhancing the image feature.

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2010 Third International Conference on Intelligent Networks and Intelligent Systems

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