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Found 13 papers, 0 papers with code
A Non-Local Means Filter for Removing the Poisson Noise
A new image denoising algorithm to deal with the Poisson noise model is given, which is based on the idea of Non-Local Mean.
A Review of an Old Dilemma: Demosaicking First, or Denoising First?
In this paper, we review the main variants of these strategies and carry-out an extensive evaluation to find the best way to reconstruct full color images from a noisy mosaic.
Joint Demosaicking and Denoising Benefits from a Two-stage Training Strategy
Image demosaicking and denoising are the first two key steps of the color image production pipeline.
Non-Local Robust Quaternion Matrix Completion for Color Images and Videos Inpainting
A new patch group based NSS prior scheme is proposed to learn explicit NSS models of natural color images.
Image Denoising by Gaussian Patch Mixture Model and Low Rank Patches
Local patch matching is to find similar patches in a large neighborhood which can alleviate noise effect, but the number of patches may be insufficient.
Edge Adaptive Hybrid Regularization Model For Image Deblurring
In the proposed model, it detects the edges and then spatially adjusts the parameters of Tikhonov and TV regularization terms for each pixel according to the edge information.
Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model
JPD of MRI and noise-added PET was learned in the diffusion process.
Convex Latent-Optimized Adversarial Regularizers for Imaging Inverse Problems
We utilize it as a convex regularizer to formulate a CLEAR-informed variational regularization model that guides the solution of the imaging inverse problem on the real data manifold.
Matrix Completion-Informed Deep Unfolded Equilibrium Models for Self-Supervised k-Space Interpolation in MRI
However, most of these methods are tailored for supervised learning scenarios that necessitate fully sampled labels, which can pose challenges in practical MRI applications.
A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation
Skin lesion segmentation is of great significance for skin lesion analysis and subsequent treatment.
Joint Diffusion: Mutual Consistency-Driven Diffusion Model for PET-MRI Co-Reconstruction
The complementary information can contribute to image reconstruction.
Fast, nonlocal and neural: a lightweight high quality solution to image denoising
In this letter, we propose a solution to both issues by combining a nonlocal algorithm with a lightweight residual CNN.
Kernel Correlation-Dissimilarity for Multiple Kernel k-Means Clustering
The main objective of the Multiple Kernel k-Means (MKKM) algorithm is to extract non-linear information and achieve optimal clustering by optimizing base kernel matrices.
