Global ETD Search
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Showing 1 to 3 of 3 for “"BM3D"”.
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De-noising and de-blurring of images using deep neural networks
… Neural Network (LS-DNN) [2] in combination with BM3D [3], an off the shelf de-noising tool, to generate images, attempting to decouple the de-noising and de-blurring steps to reconstruct noisy, blurry images. Overall, the LS-DNN performed similarly to the DNN trained only with respect to the …
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Self-supervised multi-contrast MRI denoising
… substantially surpasses traditional methods like BM3D and Noise2Self in Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM). These results underscore the potential of self-supervised learning to improve multi-contrast MRI image quality.
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Patch-based Denoising Algorithms for Single and Multi-view Images
In general, all single and multi-view digital images are captured using sensors, where they are often contaminated with noise, which is an undesired random signal. Such noise can also be produced during transmission or by lossy image compression. Reducing the noise and enhancing those images is …