Image Enhancement TRIZ Cases

A smartphone captures live microscope images through its camera lens and projects measurement tools based on entered optic powers.

A camera system identifies environmental features to calculate aircraft position, resolving navigation signal blockage issues.

A fluorescence image fusion method combines multi-depth signal values using weighted averages to create a single resultant planar image.

Merging sparse LiDAR point clouds with rich image pixel features using joint calibration and dual CNNs to resolve depth measurement accuracy bottlenecks.

Electronic data processor detects harvestable plant component edges in image data to estimate per plant yield without damaging the crop.

A computing device captures image data and sensor orientation to generate a three-dimensional mesh model for wearable sizing.

Automated image processing determines cell density correlation coefficients to resolve measurement precision versus system complexity trade-offs.

Segmenting imaged data into cerebral gyri sections enables precise atrophy estimation that distinguishes disease-related changes from normal aging patterns.

A processor calculates position difference amounts between frames to generate deformation images for synthesizing moving image regions.

A program estimates joint points on a target body surface by setting auxiliary lines in a two-dimensional base image and identifying intersections with the surface.

An endoscope image processor analyzes withdrawal speed to detect lesions and adjust diagnosis support display parameters.

Combining multiple reconstruction algorithms creates correction information that removes intensity inhomogeneity from MRI images.

Automated image segmentation replaces visual comparison to quantify electrode active material cracking, enabling accurate prediction of cell degeneration.

Parallel wavefront search determines deterministic matching patch offsets for digital image regions.

A visual positioning system extracts reference feature points from perspective images to generate indoor maps for portable devices.

A lane recognition device extracts candidate positions from input images and uses cumulative voting to generate a feature image.

Pre-calibrating brightness-load-dose curves replaces slow filament heating, shortening stabilization time and reducing patient X-ray exposure during medical imaging.

Parallel PET to CT and MRI conversion prevents error accumulation while maintaining high image quality.

Inverse problem solving removes back-projection artifacts from registered low-resolution images, achieving 20x digital magnification without hardware upgrades.

Segmenting conversion into low-resolution coloring and high-resolution refinement reduces computational complexity while maintaining image quality.

Composite aperture analysis selects optimal illumination configurations to maximize signal-to-noise ratio in semiconductor inspection tools.

Information processing apparatus determines optimal color patch positions based on geometrical conditions to minimize specular reflection.

Automated image analysis identifies biomedical objects within biological constructs, resolving manual inspection bottlenecks and reducing human bias.

A local tone mapping mask applies region-specific exposure adjustments to video frames.

Neural textures model transparent and reflective surfaces, resolving conventional display accuracy limits.

A LIDAR mapping method calculates grid cell occupation probabilities using bilinear and bicubic interpolation techniques.

A kinematic model refinement system aligns articulated bodies with 3D point clouds using iterative closest point techniques.

A diffusion model translates synthetic aperture radar satellite images into electro-optical imagery.

An inference model generates ground truth weights for tracking object data to calculate collation scores.

AI verification filters user-submitted video to reduce false positives in a scalable content lake.

Autonomous pulse detection synchronizes MR receive coil data acquisition, eliminating vendor-specific control signals and RF interference.

An autonomous system generates a 3D model from 2D images to plan precise excavation trajectories, eliminating the need for specialized manual operators.

A classifier processes early time frame PET image data to identify brain conditions and assess amyloid burden.

A dual-channel pyramid transformer captures fine surface details and holes by fusing multi-scale features, resolving low precision in reflective objects.

A processing system determines a zero disparity plane based on pixel disparity to display stereoscopic images.

A control unit specifies encoding blocks using a coordinate conversion table to determine offsets based on block size.

A method determines the stray-light point-spread function using edge targets and functional models to characterize optical interference.

Shared weight feature extraction networks optimize model complexity and training speed while maintaining high matching accuracy for cross-modal tasks.

A depth-sensing device alternates projection pattern density to capture near-field and far-field images for merging into a final depth map.

A motion correction system aligns molecular breast imaging frames using feature tracking to stabilize visual data.

Segmented 3D structures map ultrasound to CT coordinates with distinct visual characteristics for immediate quality assessment.

A medical image processing apparatus calculates thrombus removal device size from X-ray fluoroscopic images to determine optimal retrieval timing.

Segmenting the evaluation layer into software and hardware portions resolves the contradiction between measurement precision and processing speed.

A pedestrian tracking system merges facial recognition with body detection to maintain identity continuity.

An autonomous vehicle sensor system uses infrared and visible light cameras to detect interior anomalies like spills or debris.

An image-to-image neural network generates artifact-free magnetic resonance images from input data using auxiliary maps and sequence metadata.

Modified mutual information aligns multi-modal brain images to resolve spatial alignment accuracy and electrode localization reliability.

AI system classifies building materials from imagery to generate textured 3D models, resolving limited texture resolution and high update costs.

An AI system analyzes speech and image signals to guide remote technical support operations.

Inverse blurring algorithms in a 4D light field display resolve the angular-spatial resolution trade-off, delivering high contrast vision correction.

A facial expression operation system detects user features via camera to execute device commands without manual input.

A dual-band thermal imaging system processes 3-5 um and 8-12 um pixel data to classify fire status.

Computer calculates local smoothing factors for distorted regions in captured images, eliminating false positive defects caused by sheet fluttering.

An information processing apparatus calculates distance between target objects using multiple imaging devices and motion sensor data.

Segmenting image reconstruction into distinct real-time and high-definition pathways reduces computational complexity while maintaining visualization speed.

A smartphone processor analyzes skin tone images to calculate personalized safe sun exposure times based on detected ultraviolet radiation levels.

A computer-implemented method aligns 3D digital surface models of dentition with 2D images using camera model fitting.

Clustering joint positions from training videos automates pose selection, resolving manual effort bottlenecks in 2D character animation.

An image processing apparatus transforms spherical images to match planar projections using extracted feature points for accurate positioning.

An edge smoothing block filter adapts to local pixel neighborhoods to remove noise while preserving image contrast.

Visual targets and mirrors align a handheld reader with an intraocular implant, enabling accurate non-contact pressure monitoring.

Extracting frame cadence data resolves mismatched frame counts during transcoding, enabling precise quality evaluation.

Mapping coating graininess and sparkle to 3D coordinates resolves accuracy complexity trade-offs in identification.

A model creation apparatus corrects 3D shape models using local feature information to improve recognition accuracy.

Controller reverses image orientation while keeping additional information upright for user imitation tasks.

A 3D patient interface selection system calculates geometric and criteria fit scores to align devices with facial contours.

Cross-correlating brightness and curvature maps distinguishes paint defects from natural wood grain, eliminating observer bias in visual inspections.

Alternating flow encoding polarities reduce temporal footprint by fifty percent while maintaining peak velocity measurement accuracy.

A video communication system applies dynamic image blurring to protect user privacy during instant messaging sessions.

Dynamic histogram bins adapt to local noise levels, resolving registration bias in offset sensor imagery.

A CNN encoder generates feature maps fed into a ConvLSTM network to identify changes across image sequences while reducing memory requirements.

A view-dependent carving technique processes point cloud models using segmentation masks to exclude background color information from virtual camera projections.

A gaze detection apparatus corrects eye tracking errors using real-time head orientation data.

Data reconstruction circuit converts image blocks into expanded structures for parallel depthwise convolution operations in intelligent processors.

Medical image processing device detects landmarks to generate superimposition images for endoscopic visualization.

Segmenting the voxel space into multiple resolution levels reduces memory usage and processing time while maintaining high object detection accuracy.

A CT scatter correction system registers prior images to isolate low-frequency radiation signals.

A procedural map tree structure enables local image effect control through node selection and parameter modification.

Segments the capture process into sequential partial images that stitch together to resolve field of view limits and enable comprehensive damage detection.

A machine learning system extracts characteristic patterns and measures breast density from mammography images to calculate cancer risk.

Segmenting the curved frame into flat binding areas resolves glue leakage and alignment errors during curved display assembly.

Laplacian pyramid recovers lost thin structure information during coarse segmentation to maintain accuracy.

Video analysis apparatus tracks multiple body parts across frames to compute scores and select best shots for identity determination.

An image processing apparatus calculates luminance and illuminance components to adjust gamma values for enhanced dynamic range.

Machine-detectable markers enable accurate 3D scanning by resolving duplicate structures caused by reflective surfaces like mirrors.

A control section selects specific emitting sections to maintain illumination during imaging unit movement.

Automated 3D computer vision processing engine generates accurate models from noisy data using reference model matching and feature extraction.

Multi-camera neural networks detect crosswalk boundaries to replace manual mapping, reducing time and resource consumption.

RGB-D cameras capture depth data to determine patient orientation, reducing false alarms through dynamic feedback mechanisms that adapt alert sensitivity.

An image processing method sharpens and de-noises CD-SEM images to generate accurate critical dimension data.

Angle-dependent reflectivity analysis detects material coverage on surfaces, resolving accuracy limitations in traditional manufacturing inspection methods.

An apparatus trains segmentation models by iteratively adding new classifiers to existing ones.

Inverse rendering extracts lighting channels to condition a diffusion model, generating coherent shadows and skies that match the scene outline.

A LiDAR system tracks dynamic point cloud clusters to identify falling objects by analyzing their position changes over time.

A stereo camera system estimates road surface geometry using distance images generated from paired brightness inputs.

Local luminance control boosts contrast in medical image regions of interest, resolving the trade-off between visibility and display degradation.

Fractionates exposure into sub-frames to evaluate pixel statistics and replace outliers with calculated averages.

Classifying pixels into text and background regions enables selective luminance conversion, reducing power consumption while maintaining image quality.

An AI classifier processes digital images of diagnostic sticks to detect faint test lines, resolving user confusion from subjective visual inspection.

Thinning processing extracts a centerline from sidewalk area images while segmentation divides the line to remove unnecessary segments for accurate navigation.