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An Image Denoising Method Based on BM4D and GAN in 3D Shearlet Domain
2020
Mathematical Problems in Engineering
To overcome the disadvantages of the traditional block-matching-based image denoising method, an image denoising method based on block matching with 4D filtering (BM4D) in the 3D shearlet transform domain and a generative adversarial network is proposed. Firstly, the contaminated images are decomposed to get the shearlet coefficients; then, an improved 3D block-matching algorithm is proposed in the hard threshold and wiener filtering stage to get the latent clean images; the final clean images
doi:10.1155/2020/1730321
fatcat:etrh2bd77bd5djo4ruizvo5iei