Adaptive filtering algorithm for mixed noise image based on wavelet transform

作者：Zhang Libao^*; Ao Pengliang

来源：High Power Laser and Particle Beams, 2010, 22(11): 2540-2544.

DOI：10.3788/HPLPB20102211.2540

• Adaptive filtering algorithms
• Average filter
• De-noising
• Edge region
• Gaussian noise
• Image de-noising
• Median filter
• Mixed noise
• Other algorithms
• Peak signal-to-noise ratio
• Salt-and-pepper noise
• Sub-bands
• Threshold functions
• Wavelet threshold

To filter out salt and pepper noise and Gaussian noise, this paper presents a wavelet-based adaptive filtering algorithm for mixed noise. The median filter is firstly applied to remove salt and pepper noise and the edge detection is used to distinguish between the non-edge region and the edge region. Then an improved average filter is adopted on the non-edge region, initially weakening the Gaussian noise, without blurring the edge. Finally, an improved wavelet threshold filtering algorithm is utilized on the entire image, using different threshold functions on different sub-bands. The parameters of these threshold functions are gained in a linear regression process. The experimental results show that the proposed adaptive mixed-noise filtering algorithm can effectively remove salt and pepper noise and Gaussian noise. Both the subjective and objective quality of the denoising result is superior, compared with other algorithms. An increase of peak signal-to-noise ratio about 0.5 to 2.0 dB could be achieved by the proposed algorithm.

• 出版日期2010