A Denoising Mixed Noise Method Based on Median Filter and Lifting Wavelet Technology

Digital images are often contaminated by noise during image acquisition and transmission. Sometimes, noise is a mixed one of gaussian noise and impulse noise. Unfortunately, existing denoising algorithms are often designed for removing single gaussian noise or impulse noise. In this paper, an efficient algorithm for mixed noise removal in image is proposed, including space impulse noise removal and wavelet Gaussian noise removal. Firstly, a impulse noise detection algorithm based on median filter is given to filter impulse, at the same time, a lifting wavelet was constructed by lifting original wavelet. Secendly, the threshold based on lifting wavelet transform for image was applied to denoising gaussian noise. At last, simulations are conducted on the presented algorithm, and the simulation result shows that this algorithm can remove mixed Gaussian and impulse noise in image efficiently.