针对烟雾引起的图像质量下降问题,提出采用基于提升小波的同态滤波算法对图像进行增强。首先研究了基于照明反射模型的同态滤波方法,给出了适用的滤波模型和表达式,然后将提升小波变换引入同态滤波,采用高通滤波对小波变换系数进行处理,旨在对烟雾有效弱化的同时,提高处理速度。最后采用6种不同的客观评价参数对处理后的图像进行评价。结果表明,提出的算法比传统同态滤波具有更好的增强效果,与传统小波同态滤波效果相当,且运算速度比传统小波同态滤波更快。

To improve images degraded by smoke,a homomorphic filter algorithm based on lift-wavelet transform is used to enhance the contrast of an image. In this paper,we use a homomorphic filter algorithm based on lighting reflection models and develop an applicable filtering model and expression. Secondl,we take lift-wavelet transform into the homomorphic filtering and process the wavelet transform coefficient by using high-pass filtering,aiming to improve the processing speed. Finally,six different objective evaluation parameters are used to evaluate the disposed images. The results reveal that the algorithm is move effective than homomorphic filtering and equal with wavelet homomorphic filtering,which is slower than our proposed algorithm.