Results 31 to 40 of about 516,809 (278)
A flexible space-variant anisotropic regularisation for image restoration with automated parameter selection [PDF]
, 2019 We propose a new space-variant anisotropic regularisation term for variational image restoration, based on the statistical assumption that the gradients of the target image distribute locally according to a bivariate generalised Gaussian distribution ...
Calatroni, Luca +3 more
core +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee +9 more
wiley +1 more source
IEEE Access, 2020 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
In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS
FEBS Letters, EarlyView.We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka +11 more
wiley +1 more source
A Comprehensive Review of Image Restoration Research Based on Diffusion Models
MathematicsImage 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
Image Restoration Using Deep Learning Based Image Completion
Jurnal Sisfokom, 2023 Digital images can experience various disturbances in acquisition and storage, one of which is a disturbance indicated by damage to certain areas of the image field and causes the loss of some of the information represented by the image.
Phie Chyan, Tri Saptadi
doaj +1 more source
Restoring SAR Images Using Effective Image Restoration Approach
International Journal of Information Retrieval Research, 2021 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
FEBS Letters, EarlyView.The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source
Underwater Image Restoration via Contrastive Learning and a Real-World Dataset
Remote Sensing, 2022 Underwater image restoration is of significant importance in unveiling the underwater world. Numerous techniques and algorithms have been developed in recent decades. However, due to fundamental difficulties associated with imaging/sensing, lighting, and
Junlin Han +9 more
doaj +1 more source
Improving Image Restoration with Soft-Rounding
, 2015 Several important classes of images such as text, barcode and pattern images have the property that pixels can only take a distinct subset of values.
Hu, Bao-Gang +3 more
core +1 more source