融合同态滤波和小波变换的图像去雾算法研究

Research on Image De-fog Algorithm Based on Fusion Homomorphic Filtering and Wavelet Transform

针对雾天时图像退化严重,对比度低的问题,提出了一种改进算法。从时频分析的角度出发,将同态滤波算法中的傅立叶变换用快速小波变换代替,然后在变换域内用改进的滤波器对小波系数进行处理,从而达到增强雾天降质图像的目的。实验结果表明,改进算法能够有效校正雾天图像光照,保持图像原有信息不丢失,增强图像的对比度,使处理后的图像更具有可视性。

Aiming at the problem of severe degradation of fog weather image and low contrast,an improved algorithm is proposed.From the point of view of time-frequency analysis,the Fourier transform in the homomorphic filtering algorithm is replaced by the fast wavelet transform,and then the wavelet coefficients are processed by the improved filter in the transform domain to achieve the enhanced fog image purpose.The experimental results show that the improved algorithm can effectively correct the fog image illumination,keep the original information of the image is not lost,enhance the contrast of the image,and make the processed image more visible.