Abstract:

Unlike single noise, mixed noise has inconsistent characteristics and is difficult to suppress. In order to improve the noise suppression effect and image clarity, a digital image mixed noise suppression algorithm based on lifting wavelet is proposed. By using probabilistic neural networks, digital image noise is divided into pulse noise and Gaussian noise. The median filtering method is used to remove pulse noise from the digital image, and the lifting wavelet method is used to remove Gaussian noise from the digital image, achieving mixed noise suppression. The experimental results show that the proposed algorithm achieves higher image clarity and signal-to-noise ratio, and significantly improves the ENOB( Effective Number Of Bits) value of the digital image after denoising, indicating that the hybrid noise suppression effect of the algorithm is better.

Key words: digital image, median filtering, lifting wavelet, impulse noise, gaussian noise