Laser Active Image De-Noising Algorithm Based on Lifting-Wavelet
Zheng Jie Qiang, He Xin Zhang · Advanced materials research · 2014
According to the characteristics of laser active imaging and the real-time image features needed, a new image de-noising algorithm based on the voting median filter and integer lifting-wavelet transform was proposed. Firstly, the noise image was dealt with voting median filter to eliminate the interference of impulse noise. Secondly, the noise image was decomposed with lifting-wavelet, wavelet coefficients was processed with Bayes adaptive threshold method. Finally got de-noised image by inverse transform. Through compared with the standard median filter, lifting-wavelet transform, the ordinary wavelet combined with the median filter, experimental results show that this method has advanced de-noising performance and edge retention. Meanwhile it has the less computation time.