A Cooperative Denoising Method Based on Total Variation and Discrete Wavelet Transform
Lei Xie, Tao Wu, Xi Chen, Jia He · 2018
The traditional total variation denoising method is prone to spurious edges under high noise conditions. This paper proposed a cooperative filtering method, which combines discrete wavelet transform (DWT) and total variation (TV). The total variation method is used to obtain the denoised image, and then the discrete wavelet transform is performed. The denoised image undergoes wavelet decomposition and reconstruction, could reduce the edge effect and improve the image quality. The experimental results show that the proposed method could solve the noise suppression of variational problems, at the same time, it could provide better peak signal to noise ratio and some other parameters.