Results 41 to 50 of about 13,487 (274)
With the popularity of High Dynamic Range (HDR) display technology, consumer demand for HDR images is increasing. Since HDR cameras are expensive, reconstructing High Dynamic Range (HDR) images from traditional Low Dynamic Range (LDR) images is crucial ...
Yiru Zheng +3 more
doaj +1 more source
Synergistic HMGN1 and VP64 Fusions Potentiate High‐Precision and PAM‐Flexible Base Editing
A novel CDA1Δ‐SpRY architecture fused with HMGN1 and VP64 yields a nearly PAM‐less base editing platform. By focusing cytosine conversion predominantly at position −18, this synergistic complex ensures highly precise targeting. Demonstrating enhanced efficiency across diverse models, including yeast and rice, the platform offers a robust solution for ...
Xi Luo +11 more
wiley +1 more source
Adaptive dualISO HDR-reconstruction
With the development of modern image sensors enabling flexible image acquisition, single shot HDR imaging is becoming increasingly popular. In this work we capture single shot HDR images using an imaging sensor with spatially varying gain/ISO.
Hajisharif, Saghi, +2 more
core +1 more source
Improved image selection for stack-based HDR imaging [PDF]
Stack-based high dynamic range (HDR) imaging is a technique for achieving a larger dynamic range in an image by combining several low dynamic range images acquired at different exposures. Minimizing the set of images to combine, while ensuring that the resulting HDR image fully captures the scene's irradiance, is important to avoid long image ...
openaire +2 more sources
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin +7 more
wiley +1 more source
High Dynamic Range Image Reconstruction from Saturated Images of Metallic Objects
This study considers a method for reconstructing a high dynamic range (HDR) original image from a single saturated low dynamic range (LDR) image of metallic objects.
Shoji Tominaga, Takahiko Horiuchi
doaj +1 more source
A lightweight monocular perception framework generates high‐fidelity depth maps and integrates YOLOv8 detection to estimate object‐wise distances from a single RGB image. Evaluated on KITTI and the proposed D‐Far250 dataset, the system demonstrates accurate long‐range perception up to 250 m while maintaining real‐time performance, enabling scalable ...
Faseeh Muhammad +5 more
wiley +1 more source
Zebrafish and CRISPR—A synergistic approach to decipher and cure human diseases
Zebrafish, with high genetic homology to humans, serves as a powerful vertebrate model for disease modeling and drug discovery. Integration of CRISPR/Cas9 technology enables precise genome editing, facilitating the development of translational models for human diseases.
Manikandan Sivaprakasam +4 more
wiley +1 more source
Reduced-Dimensional Capture of High-Dynamic Range Images with Compressive Sensing
The range of light illumination in real scenes is very large, and ordinary cameras can only record a small part of this range, which is far lower than the range of human eyes’ perception of light.
Shundao Xie +3 more
doaj +1 more source
Enhanced Tone Mapping Using Regional Fused GAN Training with a Gamma-Shift Dataset
High-dynamic-range (HDR) imaging is a digital image processing technique that enhances an image’s visibility by modifying its color and contrast ranges. Generative adversarial networks (GANs) have proven to be potent deep learning models for HDR imaging.
Sung-Woon Jung +2 more
doaj +1 more source

