Image Enhancement TRIZ Cases

Image processing system subtracts sequential X-ray frames to visualize deposited embolization agent volume without manual mask selection.

Sensor systems block image acquisition when detecting bystanders, preventing unwanted radiation exposure in non-shielded environments.

Overlapping image localization tracks instruments against anatomy to reduce radiation exposure while maintaining high positioning accuracy.

Ultrasound imaging device automatically detects tissue boundaries using seed points and region demarcation modules, eliminating manual placement burdens.

A universal arithmetic operator processes MAC results across varying bit widths using configurable shift amounts and dynamic parameter changes.

Automatic shoppable video generation using deep convolutional neural networks to identify products within video scenes.

A judgment-assistance system extracts ball velocity and direction to automatically select relevant video frames.

Segmenting regions of interest by detecting edge intersections reduces computing resource consumption while maintaining measurement precision.

A system generates virtual viewpoint images from multiple camera inputs using background three-dimensional shape data.

Segmenting whole-slide images into tiles reduces memory requirements while maintaining classification accuracy without localized annotations.

Regulates image creation conditions using cumulative printed-paper counts to maintain quality.

Inertial sensors bridge camera latency gaps by providing high-frequency pose data, ensuring continuous tracking accuracy during fast user movement.

A digital optical holography device generates high-resolution 3D surface data sets using raster light interference and reference beams.

Deep learning model detects rotation parameters to correct images lacking straight lines, outperforming conventional methods.

A diagnostic assistance apparatus maps compressed breast shapes to non-compressed anatomy for accurate lesion documentation.

Photon-counting computed tomography determines thrombus location to resolve measurement precision versus device complexity contradictions.

A computing device assigns pixel labels to ultrasound images using machine learning models that process radio frequency data.

Multiple detection modules generate feature coefficients that determine a false contour coefficient, preventing loss of image details during artifact reduction.

A processor selects a specific color extraction algorithm from multiple methods to drive light effects based on video content characteristics.

A generator convolutional network synthesizes medical images from unpaired data using an adversarial discriminator.

A demosaic processing unit generates multispectral images from mosaic inputs using linear matrix operations.

Overhead and subsurface cameras track body position to control water flow, resolving inconsistent tracking caused by water distortion.

Tracker calibration device estimates transformation parameters to align independent coordinate systems, eliminating errors from assumed coincident positions.

An HDR image generating system performs motion analysis on lower dynamic range images to derive relative exposure levels for integration.

A mobile image processing method adjusts target application luminance and chrominance to enhance visual prominence against background icons.

A monochrome image processing system uses segmented conversion tables to adjust tone values within specific ranges for precise local modifications.

A semi-transparent detector array integrates active sensing elements with transparent regions to enable autofocus in night vision systems.

A moving body prediction device acquires movement, surrounding, and confirmation state information to predict future vehicle speeds.

A thermal sensor device captures heat signatures to align a ranging device, enabling distance measurement without complex optical processing.

Recursive scene splitting reduces metadata overhead in cloud-based HDR encoding by applying localized reshaping functions across distributed nodes.

A discrete total variation minimization algorithm adjusts pixel values based on local gradients to reduce image noise while preserving edges.

A fiber bundle image processing method corrects pixel information at fiber center positions to reconstruct high-quality images with reduced computational load.

A re-identification system estimates relative velocity to reduce candidate object comparisons across camera views.

An image processing apparatus manages specular reflection in endoscope images to support diagnostic workflows.

Mirroring electro-optical transfer functions expands the color gamut, reducing residuals and improving prediction accuracy in layered HDR coding.

A head-mounted display overlays visual control information of grading elements onto virtual reality video content for colorists.

Dual-algorithm image reconstruction blends full and short scan data to reduce noise in dynamic organ imaging.

A review apparatus groups defect locations and determines local reference sites to calculate positional offsets for precise re-location.

A reference image method captures fiber optic bundle distortions using uniform test patterns to enable precise electron microscopy imaging.

An automated system replaces manual log review by analyzing environmental data to suggest optimal fishing spots, reducing time spent on location selection.

A cell analyzer counts disease markers using switchable fluorescent dyes and super-resolution imaging to extract precise signal data.

An image processing method categorizes photos by activity type to generate highlight content.

A structural light source projects a known diffraction pattern onto surfaces for simultaneous dual-camera imaging to determine precise 3D coordinates.

Modular handheld RGB-D scanner processes depth maps in real time to resolve device complexity constraints during high-precision 3D modeling.

Segmenting image representations into localized regions resolves the contradiction between measurement precision and device complexity in fashion retrieval.

A unified control circuit aggregates video, audio, Wi-Fi, and RF sensor data to identify unmanned aerial vehicles.

A normalized zeta distance score calculates differences between test point and neighbor distances to identify anomalies.

AI models process drill cuttings images and mud gas data to predict rock porosity, bypassing time-consuming well logging operations.

Classifying pixels and geometric objects enables precise vehicle localization, reducing sensitivity to lighting and weather variations.

A necrotic cell region detection apparatus segments images into uniform regions to extract texture and luminance features for classification.

A CT image reconstruction method applies orientation-based regularization to smooth data and reduce staircase artifacts.

A tomographic image display system overlays a nipple height reference on the imaging plane to correlate slice depth with anatomical position.

A video surveillance system integrates third-party on-demand cameras with owned devices through a unified camera server interface.

Merging similar lines reduces computational load while a neural network distinguishes object boundaries from external environment interference.

A state estimation apparatus selects observation data based on posterior probability distributions to calculate accurate likelihoods.

Combining color and multispectral sensors creates a depth map that resolves individual plant identification accuracy while managing device complexity.

Retinal imaging detects pericyte loss and PDGFR-β deficiency, enabling early Alzheimer's diagnosis without invasive brain procedures.

Segments bones into cranial, facial, and mandibular groups to resolve discontinuous deformation during medical image registration.

A system generates virtual endoscopic images from three-dimensional medical data to provide precise operation guidance.

Segmenting historical point clouds by acquisition pose reduces computational load during splicing, improving autonomous driving map update efficiency.

A tomosynthesis processing system removes radiopaque marker artifacts from projection images using extraction techniques.

Pre-generated measuring templates overlay live ultrasound images, eliminating the time loss from freezing frames during preliminary diagnosis.

Image processing apparatus extracts static objects from registered multi-vehicle images to update map data.

A pattern projector arranges symbols to maximize dissimilarity between adjacent codewords for accurate 3D location computation.

Multi-stage deformation reconstruction encodes 3D shape attributes, eliminating manual annotation needs while establishing density correspondence across models.

Segmented dewarping resolves fisheye distortion to improve AR tracking accuracy.

A jaundice diagnosing apparatus corrects image color distortion using a reference object to generate accurate diagnostic images.

Segmenting medical images into tiles allows a dual-predictor system to balance diagnostic sensitivity against processing time constraints.

Image analyzer captures blood sample images and retrieves corresponding complete blood count data from a laboratory information system.

Classify triangles by area and merge connected components to maintain connectivity information while improving compression efficiency for sparse meshes.

Automatic face region detection and zooming eliminate manual focus adjustments while maintaining high measurement precision.

Inverse linescan model extracts feature geometry from noisy images, subtracting noise to yield unbiased roughness metrics independent of tool settings.

Automated deep learning system detects and localizes medical abnormalities in chest X-ray scans using specialized neural networks.

Neural networks extract counterfeited face clues from visible light images, eliminating specialized hardware costs while maintaining high precision.

Automated processing unit detects closed vessel contours from cross-sectional images to calculate lumen area and radius for flow property assessment.

Embedding cyanine dyes in a hydrophobic polymer matrix prevents leakage and degradation during sterilization.

Planar objects replace three-dimensional shapes in vehicle displays to generate realistic images with reduced data processing requirements.

A deep neural network generates artifact-corrected reconstructed contrast images from multi-delay multi-echo scan data.

A depth map correction method uses grayscale histogram analysis to identify high-luminance targets and adjust depth values.

A sensor device generates a 3D height map of sheet surfaces to classify deformations in real time.

Image sensors detect sun position using the black sun effect to estimate center points without expensive MEMS hardware.

Parallel Markov chains with adaptive cooling schedules optimize SAR image contours, resolving processing speed bottlenecks in noisy environments.

A monitoring camera apparatus groups detected image features to stitch multiple views without external markers.

A television camera integrates an LED light emitting element unit with a light intensity measuring element to calculate subject distance via time-of-flight.

Automated mammographic density estimation constructs a population-based tissue probability map to calculate pixel-wise glandular and adipose concentrations.

A program enables users to select display images and transmit location data for superimposition on sphere markers.

Combines LIDAR distance measurements with image information to correct faulty readings and improve object detection accuracy.

Inspection device extracts edge information and adjusts threshold values using brightness data to detect defects in target images.

Automated detection of side branches and calculation of median viewing angles resolve visualization bottlenecks during coronary bifurcation procedures.

A hybrid staining system generates virtual images then applies chemical stains to the same tissue sample.

A display control chip analyzes pixel distribution to automatically optimize image parameters without manual user input.

Multi-resolution MTANN suppresses rib contrast in chest radiographs, resolving false positive interference during lung nodule detection.

A two-dimensional imaging assembly captures image data while a three-dimensional imaging assembly provides depth information for precise object positioning.

An autodirection system processes real-time video feeds to select and frame subjects automatically.

A defect detection method obtains images before and after cleaning the product surface to differentiate contaminants from actual defects.

Acquires multiple virtual images by changing three-dimensional data posture to generate accurate mask images.

Image sensors detect fiducial markers to determine vehicle location parameters, resolving indoor GNSS signal loss during manufacturing routine validation.

Augmented reality display regions overlay supplemental information adjacent to media content, eliminating secondary screens and maintaining immersive viewing.

A polar coordinate transformation of angiocarpy images feeds a trained Faster RCNN architecture for automated plaque detection.

Automated multi-label segmentation of 3D cardiac CT images replaces manual assessment, reducing diagnostic variability and improving consistency.

An anonymization network masks specimen container labels to protect patient information during automated diagnostic analysis.

A machine learning system generates multiple color theme variations from an input image using learned color distributions.

Inspection apparatus checks correct data blank status before collation to distinguish intentional blanks from omissions.

A mobile apparatus determines location and pose by matching captured images against segmented artificial views derived from a three-dimensional model.

Histogram segmentation filters false estimates in stereoscopic images, ensuring accurate 3D graphics placement and reducing visual fatigue.

Dual stereo matching methods form distance images to detect objects despite disturbed brightness balance between cameras.

A bilateral sigma filter apparatus reduces ringing artifacts in compressed video signals by classifying pixels based on gradient and absolute difference calculations.

An image processing circuit detects cover and uncover areas in interpolated frames to adjust local content.

Segmented zone registration with colored markers resolves tracking inaccuracies caused by organic shapes and changing lighting conditions.

An information processing apparatus estimates region positions using optical images to guide radiography.

An electronic device alternates image capture modes to optimize exposure times across two sensors.

Neural networks segment speckle images to distinguish static and dynamic scattering, revealing deep vessel paths obscured by surface interference.

A digital guidance system provides visual feedback indicia to orient image capture devices precisely without physical support structures.

Dynamic aperture tuning compensates for vignetting and illumination loss during scanning.

A UAV processing system detects windows in captured images to enforce privacy restrictions.

Rotated sampling point delta values balance computational operations across plural sampling points, eliminating redundant varying plane equation evaluations.

An array of visible LEDs illuminates transparent wafer edges, enabling precise center finding where laser methods fail due to low contrast.

A dual sensor tracking system registers exterior and interior image data to monitor object movement across a body wall.

A chained image model analyzes throat photos to generate disease metrics for rapid streptococcal infection prediction.

A computing device displays a resizable finger silhouette for users to match against their actual digit.

Dynamic weighting coefficients adapt to specific scaling ratios, reducing blurriness and jagged edges that static methods introduce during image processing.

Computer vision system analyzes mouth movements to detect condition changes.

A spatial audio processing apparatus uses inertial measurement units to track device movement and dynamically adjust sound positioning.

Multi-tiered information propagation framework segments irregular colon structures using statistical and variational methods.

A deep learning network generates contrast images from non-contrast inputs using paired training data.

Correlating current feature clusters with previous frame identifiers via distance metrics maintains consistent labeling across image sequences.

Pyramid image decomposition identifies out-of-focus frames to prevent incorrect background modeling and improve object recognition accuracy.

A recognition unit detects the relative position of a marker on a surgical instrument to track its acting portion in augmented reality environments.

A navigational tool displays temporally related medical images side by side with connecting lines to identify corresponding nodules.

A sky imaging method classifies pixel values to estimate solar energy production indicators with higher precision.

A UAV processing system selects key image frames based on sensor trigger events to create efficient video abstraction.

An image processing apparatus regenerates focal plane distance data for edited images to preserve three-dimensional appearance.

An electronic magnifier system matches key images to a full view reference to display stable, magnified content on mobile devices.

Integrated system correlates color change with measured film thickness to simplify model creation and reduce processing complexity.

Region-based registration and hybrid tracking resolve processing time trade-offs to detect small moving objects under UAV camera motion.

Angled light scattering on membranes enables rapid sterility testing within five days without contamination risks.

A guided wave communication system transmits electromagnetic waves along transmission media surfaces to carry data signals efficiently.

A building footprint processor applies clean mask processes to refine initial building masks before instance segmentation.

Automated laser scanning identifies pipe specifications via machine learning to verify dimensional accuracy against standardized tolerances.

An interaction-based AI analysis apparatus structures video stimuli to elicit examinee responses and collects data via cameras and microphones.

An imaging apparatus maps melt pool boundaries using color and emission frequency measurements to characterize liquid phase presence.

A distance sensor uses adjustable focus imaging to project reference patterns for real-time lens movement detection.

Automated optical inspection replaces manual substrate checks, resolving the contradiction between measurement precision and productivity.

A real-space sharpening filter adjusts gain based on noise characteristics to enhance image quality.

A rotating spindle with detent positions supports a calibration plate for precise orientation in optical metrology systems.