Results 51 to 60 of about 7,150,154 (369)
VmambaIR: Visual State Space Model for Image Restoration [PDF]
Image restoration is a critical task in low-level computer vision, aiming to restore high-quality images from degraded inputs. Various models, such as convolutional neural networks (CNNs), generative adversarial networks (GANs), transformers, and ...
Yuan Shi +7 more
semanticscholar +1 more source
Variational Deep Image Restoration
This paper presents a new variational inference framework for image restoration and a convolutional neural network (CNN) structure that can solve the restoration problems described by the proposed framework. Earlier CNN-based image restoration methods primarily focused on network architecture design or training strategy with non-blind scenarios where ...
Jae Woong Soh, Nam Ik Cho
openaire +3 more sources
Recently, variational and partial differential equation (PDE)-based algorithms have become very important for image restoration. In this study, we propose a new second order hyperbolic PDE model based on directional diffusion for image restoration.
Shuaijie Li, Zhanjiang Zhi
doaj +1 more source
Learning Deep CNN Denoiser Prior for Image Restoration [PDF]
Model-based optimization methods and discriminative learning methods have been the two dominant strategies for solving various inverse problems in low-level vision.
K. Zhang, W. Zuo, Shuhang Gu, Lei Zhang
semanticscholar +1 more source
An intracellular transporter mitigates the CO2‐induced decline in iron content in Arabidopsis shoots
This study identifies a gene encoding a transmembrane protein, MIC, which contributes to the reduction of shoot Fe content observed in plants under elevated CO2. MIC is a putative Fe transporter localized to the Golgi and endosomal compartments. Its post‐translational regulation in roots may represent a potential target for improving plant nutrition ...
Timothy Mozzanino +7 more
wiley +1 more source
Non-blind Image Restoration Based on Convolutional Neural Network
Blind image restoration processors based on convolutional neural network (CNN) are intensively researched because of their high performance. However, they are too sensitive to the perturbation of the degradation model.
Okutomi, Masatoshi +2 more
core +1 more source
A Cre‐dependent lentiviral vector for neuron subtype‐specific expression of large proteins
We designed a versatile and modular lentivector comprising a Cre‐dependent switch and self‐cleaving 2A peptide and tested it for co‐expression of GFP and a 2.8 kb gene of interest (GOI) in mouse cortical parvalbumin (PV+) interneurons and midbrain dopamine (TH+) neurons.
Weixuan Xue +6 more
wiley +1 more source
A Comprehensive Review of Image Restoration Research Based on Diffusion Models
Image restoration is an indispensable and challenging task in computer vision, aiming to enhance the quality of images degraded by various forms of degradation. Diffusion models have achieved remarkable progress in AIGC (Artificial Intelligence Generated
Jun Li +3 more
doaj +1 more source
Restoring SAR Images Using Effective Image Restoration Approach
Landsat 7 Enhanced Thematic Mapper Plus satellite images presents an important data source for many applications related to remote sensing. An effective image restoration method is proposed to fill the missing information in the satellite images. The segmentation of satellite images to find the SLIC Super pixels and then to find the image Segments. The
null Vaishnavi P., Angelin Gladston
openaire +2 more sources
Hematopoietic (stem) cells—The elixir of life?
The aging of HSCs (hematopoietic stem cells) and the blood system leads to the decline of other organs. Rejuvenating aged HSCs improves the function of the blood system, slowing the aging of the heart, kidney, brain, and liver, and the occurrence of age‐related diseases.
Emilie L. Cerezo +4 more
wiley +1 more source

