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.