基于小波阈值的图像增强算法

本文针对传统的图像增强算法中存在的一些问题,如增强噪声、丢失细节、对比度差等.提出了一种基于小波变换的图像增强算法.图像经过多尺度小波分解后,得到不同尺度的小波系数,然后根据噪声在不同尺度的分布情况和小波系数的特点,对不同尺度的小波系数采用不同的小波阈值增强算法,最后进行小波重构,即可得到增强后的图像.经过仿真实验证明该方法可以有效地增强图像的细节信息,保持图像的边缘特征.改善图像的视觉效果.

Algorithm of Image Enhancement Based on Wavelet Threshold

In view of some questions which exist in the traditional image enhancement algorithm,such as noise enhancement,detail loss and weak contrast degree,an new algorithm of image enhancement based on wavelet threshold is proposed.The image is first decomposed into multi-level wavelet to obtain the multi-level wavelet coefficients.Then,every level of wavelet coefficients is enhanced by different threshold algorithm,according to noise in different level distributed situation and wavelet coefficients'characteristic.Finally,the image of enhancement is obtained by the inverse wavelet transform.Simulation experiments show that the algorithm may effectively strengthen the image's detail information,maintain the image's edge characteristic and improve the image's visual effect.