Weakening of smoke for homomorphic filtering
提升小波的同态滤波在图像烟雾弱化中的应用

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.