Image Processing
Articles tagged with Image Processing
Double-slit experiment reveals hidden details between light and matter
Scientists successfully built the smallest X-ray interferometer to measure how X-rays interact with atomic nuclei. This breakthrough technology enables precise measurement of X-ray refraction and provides new avenues for research.
NTU Singapore scientists invent AI-powered biochip that detects genetic markers in 20 minutes
A team of scientists from NTU Singapore has developed a new biochip that, when paired with Artificial Intelligence (AI), can detect quickly and accurately extremely small amounts of microRNAs. The device can cut detection time from hours to 20 minutes.
New AI image-enhancement method could help transportation systems see more clearly in tunnels
Researchers developed a dynamic range compression dual-domain attention network to tackle extreme exposure conditions in tunnels. The DRC-DFANet model optimizes global illumination coordination and local detail restoration, preserving fine details while adjusting brightness intelligently.
Modeling of parallel single-pixel imaging for 3D reconstruction: New insights and opportunities
Researchers develop a comprehensive framework for parallel single-pixel imaging, enabling accurate separation and localization of complex illumination components. The proposed model shows advantages in mixed-scene reconstruction and significantly outperforms conventional methods in low signal-to-noise ratio environments.
HEAPGrasp: A faster, smarter way for robots to handle tricky objects using only RGB camera
HeapGrasp uses RGB images to analyze object silhouettes and estimate its 3D shape, reducing the need for depth information. The approach achieves high accuracy while minimizing camera movement and execution time.
OCT powered by AI-based analytics gives a glimpse into wound healing
Using AI-driven analytical methods, researchers have created a custom OCT system that enables the objective measurement of wound progress over time. The platform shows that stiffer mechanical properties improve wound healing outcomes, with faster transition to intact regenerated tissue.
Unexpected partial recovery of natural vision observed after intracortical microstimulation in a blind patient
A blind patient partially recovered natural vision through electrical stimulation of the visual cortex, independent of the implant. The recovery was sustained over time and remained even after the device was removed, suggesting individual factors may have contributed to this outcome.
Stress-testing AI vision systems: Rethinking how adversarial images are generated
Researchers created a new frequency-aware approach to crafting adversarial images that better match human visual perception. The method, called Input-Frequency Adaptive Adversarial Perturbation (IFAP), significantly outperformed existing techniques in structural and textural similarity.
How can AI help us study live cells without damaging them in our pursuit of understanding them?
Researchers developed AI-powered in silico labeling to analyze cell images without staining, preserving cell health. The system leverages context, such as cell shape and position, to accurately stain rare processes like cell division.
New AI tool can take a cattle’s temperature with only a photo
A new AI tool, CattleFever, uses artificial intelligence and thermal cameras to estimate cattle body temperature from a photo. The system can automatically determine an animal's body temperature within 1 degree of the reading from a thermometer.
Twist to reshape, shift to transform: Bilayer structure enables multifunctional imaging
A reconfigurable optical computing platform based on a double-layer liquid crystal structure has been developed to enable multifunctional all-optical image processing. The platform integrates eight types of image processing functions in one go, including bright-field imaging, vortex filtering and edge enhancement, promising substantial...
AIs fail at the game of visual “telephone”
Researchers found that AIs consistently converged on 12 common themes despite diverse prompts, suggesting biases in training data. The models failed to generate novel or creative outputs, highlighting the need for anti-convergence mechanisms and human input for AI's creative potential.
New video dataset to advance AI for health care
Researchers have launched a new multimodal medical dataset, Observer, capturing anonymized, real-time interactions between patients and clinicians. The dataset links video, audio, transcripts, and electronic health records to study subtleties like body language and environmental factors affecting care.
ACM honors 2025 Distinguished Members for driving the future of computing
The Association for Computing Machinery has named 61 new Distinguished Members, recognized for their contributions to AI for healthcare, data management, human-computer interaction, and other areas. The recipients include experts from top universities, corporations, and research institutions worldwide.
Managing many errors at once: toward intelligent accuracy control in machine tools
Researchers explore ways to understand and control multiple errors affecting machine tool accuracy, combining traditional models with data-driven approaches and digital twin technology. This enables more integrated systems that can monitor themselves, predict changes, and adjust behavior automatically.
New center to develop AI-based imaging tools to improve diagnosis, care
The Center for Computational and AI-enabled Imaging Sciences brings together experts to develop AI-powered medical imaging applications that integrate information from different imaging types. This may include identifying previously unknown early indicators of disease onset.
Is your ultra-HD TV worth it? Scientists measure the resolution limit of the human eye
Researchers at the University of Cambridge found that the human eye has a resolution limit, above which screens provide more information than can be detected. For an average UK living room, a 44-inch 4K or 8K TV does not offer additional benefits over a lower resolution Quad HD TV.
AI at the Eyelid: Glasses that track health through your blinks
Researchers developed AI-powered BlinkWise glasses that track blinking patterns to assess fatigue, mental workload, and eye-related health issues. The device uses radio signals to detect minute eyelid movements with unprecedented detail, preserving privacy and using minimal power.
Lightweight UAV object detection with reparameterized convolutions and shallow fusion networks
A novel detection framework, SORA-DET, is introduced for UAV remote sensing, achieving high accuracy and efficiency while being compact and fast. It outperforms large-scale models with up to 88.1% fewer parameters.
MoBluRF: A framework for creating sharp 4D reconstructions from blurry videos
Researchers developed MoBluRF, a two-stage motion deblurring method for NeRFs, achieving high-quality 3D reconstructions from ordinary blurry videos. The framework outperforms state-of-the-art methods and is robust against varying degrees of blur, enabling smartphones to produce sharper and more immersive content.
Supernovae: How to spot them at record speed
Astronomers have developed a protocol to detect supernovae within 24 hours of their explosion, using high-cadence sky surveys. The method involves rapid searches for candidates based on light signal absence and galaxy location, followed by spectroscopic observations to determine the type of supernova.
Researchers create multimodal sentiment analysis method that improves detection of human emotions while reducing computational cost
Researchers developed a novel approach called R3DG that analyzes representations at varying granularities to capture nuanced emotional fluctuations and reduce computational complexity. This framework demonstrates superior performance in multiple multimodal tasks, including sentiment analysis, emotion recognition, and humor detection.
An efficient and memory-friendly unsupervised industrial anomaly detection model
A research team developed an innovative unsupervised model for industrial anomaly detection using paired well-lit and low-light images. The model leverages feature maps, Low-pass Feature Enhancement, and Illumination-aware Feature Enhancement to detect anomalies while remaining lightweight and memory-efficient.
Development of a quality design method for real-time videos from uncrewed aerial vehicles
A new design method, SPADE, evaluates UAV video surveillance system quality without real-world manipulations. It assesses the impact of image resolution on object detection performance., The SPADE method can be applied to various UAV systems and will aid in designing complex large-scale systems involving multiple UAVs.
New attack can make AI ‘see’ whatever you want
Researchers have demonstrated a new technique, RisingAttacK, to manipulate all widely used AI computer vision systems, allowing them to control what the AI 'sees'. The attack is effective at influencing the AI's ability to detect top targets, such as cars, pedestrians, or stop signs.
Pervasive surveillance of people is being used to access, monetize, coerce, and control
A new study reveals a five-fold increase in computer vision papers linked to surveillance patents, highlighting the rise of obfuscating language that normalises surveillance. The top institutions producing surveillance are Microsoft, Carnegie Mellon University, and MIT.
AI-assisted model enhances MRI heart scans
A cardiac magnetic resonance imaging (MRI) scan usually takes anywhere from 30 to 90 minutes. The AI-assisted model developed by Mizzou researchers can turn low-quality MRI heart scans into high-quality images in less time, while improving patient experience and reducing costs.
KAIST researchers unveil an AI that generates "unexpectedly original" designs
Researchers at KAIST have developed a technology to enhance creative generation of AI generative models like Stable Diffusion, generating novel and useful images. The algorithm amplifies internal feature maps to boost creativity without new training, outperforming existing methods in novelty and utility.
Better images for humans and computers
Researchers at ETH Zurich have developed a novel solution for image sensors, utilizing lead halide perovskite to capture every photon of light. This allows for improved color recognition and higher resolution, as well as advantages in hyperspectral imaging.
“Raindrops in the Sun’s corona”: New adaptive optics shows stunning details of our star’s atmosphere
Scientists have developed a groundbreaking adaptive optics system that removes blur from images of the Sun's corona, revealing clearest images to date. The technology has produced remarkable observations of fine-structure in the corona, including raindrops and turbulent internal flows.
High-quality OLED displays now enabling integrated thin and multichannel audio
Researchers at Pohang University of Science & Technology have developed Pixel-Based Local Sound OLED technology, allowing each pixel to emit different sounds. This breakthrough enables truly localized sound experiences in displays, enhancing realism and immersion.
Study explores how to use AI to listen to the ‘heartbeat’ of a city
University of Missouri researchers create digital sentiment map using AI to analyze public Instagram posts, linking emotional tone to real-life features. The tool aims to improve city services, identify areas of concern, and inform emergency response decisions.
Developing a new analysis method for capturing long-term brain activity in freely moving mice
Researchers have developed CaliAli, an advanced analytical framework that aligns calcium imaging data across multiple sessions, allowing for the continuous tracking of individual neurons. This breakthrough enables long-term brain activity studies and advances understanding of memory formation, retention, and neurological diseases.
One glass, full color: sub-millimeter waveguide shrinks AR glasses
Researchers at Pohang University of Science & Technology (POSTECH) have developed an achromatic metagrating that handles all colors in a single glass layer, eliminating the need for multiple layers. This breakthrough enables vivid full-color images using a 500-µm-thick single-layer waveguide.
Deepfakes now come with a realistic heartbeat, making them harder to unmask
Recent high-quality deepfake videos can feature realistic heartbeats and minute changes in face color, making them challenging to detect. Researchers found that even small variations in skin tone and facial motion can replicate the original pulse in deepfakes.
Single-shot simultaneous intensity, phase, and polarization imaging with metasurface
A team of researchers from Jinan University has developed a metasurface-based imaging technique that can precisely measure the intensity, phase, and polarization of arbitrary light field distributions in a single exposure. The system uses optimized metasurface structural parameters to diffract incident light fields into sub-images that...
Awkward. Humans are still better than AI at reading the room
Researchers at Johns Hopkins University found that AI systems struggle to understand social dynamics and context necessary for human interaction. Human participants were able to accurately rate features important for understanding social interactions, while AI models failed to match human brain and behavior responses across the board.
Transforming doors into gateways to the virtual world: the future of mixed reality!
A collaborative research team has developed a novel mixed reality (MR) technology that uses real-world doors as natural transition points. The system allows users to select a door within their MR interface and seamlessly transition into a virtual space, creating an unprecedented sense of immersion.
Enhanced photoacoustic microscopy with physics-embedded degeneration learning
Researchers have developed a novel method, PEDL, to improve the performance of photoacoustic microscopy. PEDL seamlessly integrates physical principles and domain-specific knowledge into a deep learning model, enabling accurate simulation of physical processes in PAM. This leads to enhanced image resolution and improved accuracy in dee...
IEEE study leverages silicon photonics for scalable and sustainable AI hardware
A new hardware platform for AI accelerators capable of handling significant workloads with reduced energy requirement has been developed. The platform leverages III-V compound semiconductors to create photonic integrated circuits, which operate at the speed of light with minimal energy loss.
A digital twin of the heart helps to improve the diagnosis and treatment of cardiac arrhythmias
A new method combines ECGI with digital twins to locate the origin of premature ventricular contractions, improving accuracy by an average of 7.8 mm. The method has been applied in a real clinical case and is expected to facilitate planning interventions and reduce treatment costs.
High-precision full waveform inversion imaging and its applications
Full Waveform Inversion (FWI) technology provides unprecedented precision in seismic imaging, breaking resolution limitations of traditional methods. It characterizes complex structures within the Earth's interior and offers higher-resolution subsurface models.
“ChatGPT” for computer security
A team led by Dr. Marcus Botacin is creating a large language model (LLM) to automatically identify malware and write rules to defend against it. The LLM will use signatures to complement human analysts' skills, identifying malware faster and more accurately.
Natural supramolecular photosensitizer with in situ switchable photothermal/photodynamic effects as an imaging platform for precise and controlled cancer synergistic therapy
Researchers developed a nanoplatform that combines photothermal, photodynamic therapies with imaging capabilities to treat cancer. The platform achieved synergistic anticancer effects by inducing a switchable response in the tumor microenvironment.
New microscope can image, at once, the full 3D orientation & position of molecules in cells
A new hybrid microscope allows scientists to image the full 3D orientation and position of an ensemble of molecules, such as labeled proteins inside cells. This can reveal the real biology hidden from just a position change of a molecule alone.
High-frequency enhanced ultrafast compressed photography technology (H-CAP) allows microscopic ultrafast movie to appear at a glance
Researchers propose H-CAP method to capture ultrafast phenomena with large frame numbers, improving spatial resolution. The method enhances high-frequency information, allowing for high-fidelity reconstruction of transient processes.
Single-photon LiDAR delivers detailed 3D images at distances up to 1 kilometer
A new single-photon time-of-flight LiDAR system can acquire high-resolution 3D images of objects or scenes up to 1 kilometer away, offering improved surveillance and monitoring capabilities. The system uses a superconducting nanowire single-photon detector and achieves a higher spatial resolution than previous systems.
Microscopy approach offers new way to study cancer therapeutics at single-cell level
Researchers developed a novel microscopy technique to study metabolic changes in individual cancer cells at the single-cell level. They found that radiation treatment caused significant metabolic shifts in head and neck squamous cell carcinoma cells, particularly through the activation of HIF-1α.
A new global study aims to map the brain signatures of bipolar disorder to transform understanding of the disease
A global study will explore structural changes in the brains of people with bipolar disorder and compare them to major depression. The project aims to develop new tools for diagnosis and treatment, leveraging unprecedented sample sizes from over 3,500 individuals with BD and 9,000 healthy controls.
Largest study ever done on cannabis and brain function finds impact on working memory
A recent study published in JAMA Network Open found that heavy cannabis users exhibited reduced brain activity during working memory tasks, associated with worse performance. Abstaining from cannabis before cognitive tasks may help improve performance.
UCF helps develop AI tool that may assist underserved hospitals
The open-source AI model analyzes medical images, generates detailed reports, and answers clinical questions to streamline diagnostics and improve accuracy. BiomedGPT aims to democratize healthcare and reduce disparities amongst patients by providing easily accessible data to bolster underserved hospitals.
2 UVA Electrical and Computer Engineering faculty named IEEE Distinguished Lecturers
Professors Scott Acton and Mathews Jacob of UVA's Charles L. Brown Department of Electrical and Computer Engineering were named to the IEEE Signal Processing Society's 2025 Class of Distinguished Lecturers for their groundbreaking work in signal processing, artificial intelligence, and medical imaging.
Harnessing electromagnetic waves and quantum materials to improve wireless communication technologies
A team of researchers from the University of Ottawa has developed innovative methods to enhance frequency conversion of terahertz (THz) waves in graphene-based structures, unlocking new potential for faster, more efficient technologies in wireless communication and signal processing. These advancements hold great promise for wireless c...
KAIST develops neuromorphic semiconductor chip that learns and corrects itself
The KAIST team developed a next-generation neuromorphic semiconductor-based integrated system that can learn and correct errors on its own. This technology will revolutionize AI use in everyday devices, making them faster, more private and energy-efficient.
KAIST develops insect-eye-inspired camera capturing 9,120 frames per second
A novel bio-inspired camera capable of ultra-high-speed imaging and high sensitivity has been developed by KAIST researchers. The camera mimics the visual structure of insect eyes and achieves frame rates thousands of times faster than conventional cameras, while providing clear images in low-light conditions.
Optical imaging technique offers more precise diagnosis of sleep apnea
A recent study has explored a new imaging approach that uses swept-source optical coherence tomography to visualize the upper airway with high precision. By integrating computational fluid dynamics, researchers were able to identify areas of turbulence and pinpoint obstruction sites, leading to more accurate diagnoses and treatment pla...
Unlocking the secrets of the heart: Simple scan could identify patients at risk for serious heart problems
Researchers developed a non-invasive way to assess fat composition around the heart using magnetic resonance imaging. This technique may help doctors identify patients at greatest risk for cardiac problems and predict treatment outcomes.
SPACe: A new open-source platform that supports large imaging data analysis on standard computers
SPACe enables researchers to analyze large datasets in an efficient way, capturing the full diversity of cellular responses. The platform provides a more nuanced understanding of how drugs interact with cells, revealing insights into mechanisms beyond cell death.
Unlocking the ‘black box’: scientists reveal AI’s hidden thoughts
Researchers developed a new method, k* distribution method, to visualize and assess how well deep neural networks categorize related items together. The model reveals clustered, fractured or overlapping arrangements of data points, indicating accuracy and reliability issues.