Image denoising method using multiple wavelet bases and fusion technology
Dan Shi · Guangdian gongcheng · 2007
A novel image denoising method using multiple wavelet bases and fusion technology was proposed. First, every wavelet base was employed to threshold denoise, and recover the image, and then a set of the denoised images were obtained. Next, these denoised images were fused using wavelet transform. While choosing the low frequency coefficients, we selected the pixels that might be the edges from these denoised images. When choosing the high frequency coefficients, we used average method. Finally, the denoised image was reconstructed by the inverse wavelet transform using the new wavelet coefficients. Experimental results showed that the new method presented here was much effective in removing white noise, and gave better Peak Signal Noise Ratio (PSNR) gains than single wavelet base denoising.