Image Deblurring via Frequency-Domain Feature Enhanced Convolutional Neural Networks. [PDF]
Guo Y, Ma L, Zhang Y.
europepmc +1 more source
NAADF: Globally Illuminated Voxel Worlds Accelerated with Nested Axis‐Aligned Distance Fields
Abstract Achieving realistic rendering of 3D scenes in real time using path tracing is challenging due to the high sample count required, with ray tracing as the bottleneck. Focusing on voxels as a geometry representation offers significant opportunities for optimizations, especially for tracing the rays, but also for computing the samples.
A. Ulschmid +4 more
wiley +1 more source
Using a Physics-Based Approach to Standardize Radiomics Values: Experimental Validation in an Anthropomorphic Phantom on a Clinical CT Scanner Using a Range of Dose Levels and Reconstruction Kernels. [PDF]
Din H +5 more
europepmc +1 more source
A more‐than‐human political ecology of Indonesian songbird trade
Abstract Since its inception, conservation science has considered wildlife trade a problem. In focusing on conservation outcomes, conservationists almost completely ignore the welfare of traded animals and plants and the harms they endure. We developed a political ecology approach that incorporates the interconnectedness of people with animals and ...
Sicily Fiennes +9 more
wiley +1 more source
An Adaptive Super-Resolution Network for Drone Ship Images. [PDF]
Li H, Xiong W, Cui Y, Yao L.
europepmc +1 more source
A Fast Nonlinear Sparse Model for Blind Image Deblurring. [PDF]
Zhang Z +8 more
europepmc +1 more source
Abstract In the domain of battery research, the processing of high‐resolution microscopy images is a challenging task, as it involves dealing with complex images and requires a prior understanding of the components involved. The utilisation of deep learning methodologies for image analysis has attracted considerable interest in recent years, with ...
Ganesh Raghavendran +7 more
wiley +1 more source
Enhanced confocal microscopy with physics-guided autoencoders via synthetic noise modeling. [PDF]
Ahmad Z +11 more
europepmc +1 more source
Abstract In situ synchrotron X‐ray computed tomography enables dynamic material studies. However, automated segmentation remains challenging due to complex imaging artefacts – like ring and cupping effects – and limited training data. We present a methodology for deep learning‐based segmentation by transforming high‐quality ex situ laboratory data to ...
Tristan Manchester +6 more
wiley +1 more source
Automated Multi-Scale Morphometry Analysis of Fibrous Networks. [PDF]
Giri S +4 more
europepmc +1 more source

