An Effective Method for Removing Mixed Noise in Images
Shizhuan Lu
Abstract
Shizhuan Lu
Abstract
One denoising method is only effective to one kind of noise.In order to suppress mixed noise,an image denoising algorithm combining median filter with wavelet denoising is proposed.The algorithm detects impulse noise points first,and median filter with adaptive window is applied to the points,then wavelet denoising based on Gaussian Mixture Model is used to filter the Gaussian white noise in images.Simulation experiments show that the algorithm is obviously much better than single median filter or wavelet denoising method when filtering mixed noise of Gaussian and impulse in images.
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One denoising method is only effective to one kind of noise.In order to suppress mixed noise,an image denoising algorithm combining median filter with wavelet denoising is proposed.The algorithm detects impulse noise points first,and median filter with adaptive window is applied to the points,then wavelet denoising based on Gaussian Mixture Model is used to filter the Gaussian white noise in images.Simulation experiments show that the algorithm is obviously much better than single median filter or wavelet denoising method when filtering mixed noise of Gaussian and impulse in images.
Key concepts: Noise reduction, Impulse noise, Median filter, Gaussian noise, Salt-and-pepper noise, Wavelet, Non-local means, Value noise