Image Enhancement TRIZ Cases

A mixed-reality golf simulation system uses a near-eye display to overlay virtual course environments onto real-world views.

A machine learning model infers blood circulation anomalies using medical and derived vessel images.

Generative adversarial networks expand scarce training datasets to enable metric learning models that locate small defects in large assembly components.

Dynamic region of interest adjustment reduces processing time by focusing only on relevant image areas during driving.

A handheld 3D-vision device acquires depth data and converts it into a point cloud to calculate object dimensions.

Direct manipulation of source stabilization curves eliminates full sequence re-analysis, reducing processing time while maintaining tracking accuracy.

Dynamic weight adjustment resolves ghosting artifacts in time domain processing by adapting pixel weights to scene changes while maintaining image quality.

A blending processing unit combines outputs from separate smoothing and thinning units based on edge direction to determine final pixel values.

A noise reducing unit adjusts target pixel luminance based on an edge keeping index, preventing detail obscuration from uniform processing.

Dividing omni-directional images corrects wheel slippage errors via visual odometry, enabling accurate simultaneous localization and map building.

Merging independent filters into a single GPU shader eliminates intermediate images and pipeline flushes, reducing texture read-write overhead.

A measuring apparatus identifies subway station boundaries by analyzing frequency distribution of train-generated sound.

A structured light augmented reality system projects periodic patterns to capture pixel disparities for three-dimensional scene modeling.

A trained machine learning model classifies cardiac image features by evaluating probability data for candidate classes to identify confident matches.

An image processor generates depth maps using multiple sensors to extend the operational range.

Image processing extracts sticker colors to provide tailored restoration instructions, resolving the bottleneck of generic manual guidance.

Straightening ribs and the spine into a single 2D view eliminates axial slice scrolling to accelerate analysis.

Automated detection of construction progress using convolutional neural networks replaces manual surveys, improving data collection efficiency.

Interpolation on sparse dual-pixel data resolves the trade-off between autofocus accuracy and image quality by generating virtual dual-images.

A face-aware offset calculation module generates alignment maps using landmark heatmaps to reconstruct facial frames.

A Face-based Query Language system translates natural language requests into structured commands for targeted artificial intelligence model execution.

A UV-A light source and detector analyze plant fluorescence to identify health status through optical imaging.

A virtual image display device adjusts parallax region partitions via a controller to optimize stereoscopic viewing.

Integrating sphere module creates uniform light distribution to resolve non-homogeneous illumination and low precision in complex surface measurement.

A colony counting device captures pre-culture reference images to identify and exclude residues from final counts.

Subject-specific blocking surfaces filter spurious tracts from brain MRI data, resolving accuracy-complexity trade-offs.

A video processing system classifies image blocks to determine noise characteristics for accurate reduction.

Segmenting T1 ranges by complex ratio signals resolves folding errors in high-field MRI measurements.

Segmenting aerial images into regions approximates RF node placement without detailed 3D plant data.

A medical image analysis system compares current and past diagnostic results to highlight newly detected lesion candidates through distinct output methods.

A sensor and media event detection system extracts relevant motion data segments to reduce storage volume.

A 3D lung model visualizes pleural surfaces and treatment targets from CT data.

Resamples intensity levels on curved surfaces enclosing heart cavities to enable detailed myocardium inspection despite irregular cardiac motions.

Calculating scaling factors from white space distances between document objects preserves layout structure and readability while avoiding geometric distortion.

SVM-based adaptive feature extraction selects discriminative image blocks, reducing dimensionality and pedestrian detection errors in thermal imaging.

Tags images with transformative instructions to apply specialized downscaling algorithms, reducing processing costs while maintaining image quality.

A system segments target objects from input images and maps textures to similar 3D models for real-time rendering.

Automated image segmentation identifies objects of interest within video streams to generate precise geometric models for real-time content modification.

A position determination system generates detector modules from collected environment data to identify landmarks for mobile unit navigation.

An image processing apparatus performs recognition on low and high resolution images to balance speed and accuracy.

A vehicle attitude estimation device uses overlapping camera images to detect feature portions and calculate positional offsets for pitch, roll, and yaw angles.

A dynamic color calibration system decomposes the output space into tetrahedrons to calculate RGB adjustment values for each display panel.

An AI decoding apparatus normalizes intermediate result values using scale factors to transform floating-point data into integer ranges.

A clinical target volume delineation model processes radiotherapy computed tomography images and signed distance maps for automated segmentation.

Optical imaging analyzes dispensed material area data from a rotating meter roller, quantifying flow discontinuity for accurate performance evaluation.

Two-dimensional input/output predictive modeling generates simultaneous equations to create corrected pattern images for semiconductor inspection.

Integrated ring lights provide consistent illumination for mobile selfies, resolving image quality issues from uncontrolled lighting.

A cell recognition device detects nucleoli and calculates distances between them to identify individual cells in phase contrast images.

A CT imaging apparatus interpolates pixel values in restored regions using direction information from raw data projections.

Machine learning object processing identifies user manipulation states in augmented reality environments to automate task compliance evaluation.

Adding stochastic resonance noise to observed data enhances suboptimal detector performance without altering internal parameters.

ECG-triggered cardiac imaging synchronizes image acquisition with the heartbeat cycle to stabilize visual sequences.

Radiation imaging system iteratively refines pose estimation to reduce X-ray projections and processing time for batch inspection.

A machine learning volumetric capture system generates 3D reference models from 2D images.

Estimation apparatus determines virtual screen parameters using captured images of physical and virtual patterns to align display objects.

Information processing system adjusts image quality in critical video areas using subject-related data.

A compliant tail mechanism generates propulsion through undulating motion using a single actuator.

A convolutional neural network analyzes log-chromaticity histograms to estimate illumination and tint input images.

An optical image stabilization system compensates for translational camera jitter by fusing accelerometer and gyroscope signals to correct lens position.

Visual tracking combined with sensor measurements produces a fused camera pose that eliminates swaying and wobbling caused by GPS noise.

Analyzes scanned images for periodic horizontal banding to detect pressure roller eccentricity, ensuring accurate image scanning and timely maintenance.

A fused depth map system combines stereo, structured light, and shading modules to generate spatially dependent data.

Offline structure-from-motion filters images by depth criteria, resolving the contradiction between data volume and measurement precision.

A smartphone captures undercarriage images as a vehicle drives over it, eliminating costly lifting equipment and enabling efficient onsite inspections.

Multi-layer feature fusion improves detection accuracy for deep learning inpainting by integrating shallow and deep features.

Exciting segmented optical sources encodes displacement sequences into single images captured by conventional cameras.

A vehicle control device specifies AR glasses position using extracted feature points from camera images.

Indexing video packages allows direct frame decoding for PSNR measurement, reducing processing time compared to full file unpacking.

Upper and lower lighting arrays illuminate fish from multiple angles to reduce aversion, enabling accurate sea lice counting via image processing.

Multi-angle imaging detects abnormal pin yaw before straightening, resolving the trade-off between detection accuracy and system complexity.

Automated image analysis reduces detection delays and unnecessary procedures by providing instant test recommendations based on tissue characteristics.

A noise filter removes electrical interference from image signals generated by diffractive optical elements.

A video encoding unit overlays sensor data onto a video stream to enable multi-source verification.

A depth map creation unit associates two-dimensional radiation image positions with tomographic plane depth information.

A tracking system uses motion and appearance signatures to predict object location across frames.

Synthesizes omni-directional views by determining target pixels using horizontal and vertical parallax data from original image pairs.

Analyzing long and short exposure frames determines dynamic range, reducing synthetic noise from constant ratios in video surveillance.

A ballistics imaging system captures spent cartridges under varied illumination to extract firing pin impact features.

Automated engine inspection processes 3D data to measure damage, reducing ground time by releasing aircraft before comprehensive assessment.

A projector system detects physical disturbances using captured images to update presenting positions only when necessary.

Triangulating multi-vantage sensor data resolves localization accuracy versus system complexity trade-offs for autonomous vehicle navigation.

A method generates reduced medical image data sets by determining longitudinal axis intersection points across cross-sections to create partial views.

Triangulation raster image interpolation aligns triangle edges with color intensity contours to enhance visual smoothness.

A host vehicle position estimation device extracts intermediate information from guide signs to determine location coordinates.

Cache unit pre-reads uncorrected pixel ranges, eliminating iterative lookups and reducing processing time.

Distance sensors measure article orientation to correct image regions, preventing erroneous recognition of leaning items.

Automated validation replaces manual inspection with pixel-level analysis, reducing testing time and improving defect detection accuracy.

A 3D image registration system projects volumetric data into 2D spaces to estimate deformable fields and backprojects them for motion compensation.

Selective 3D model segmentation removes visual clutter from vascular structures, resolving identification difficulties during thoracic surgery planning.

A semi-automatic method segments liver lesions from CT images using a spatially varying two-phase process that refines boundaries based on pixel location.

An AI-guided robotic system integrates MRI analysis with surgical intervention to streamline cancer care workflows.

A dividing unit segments image data into large and small blocks to calculate isolated point counts for accurate region classification.

A driver assistance system simulates human contrast sensitivity to determine object visibility using image processing filters.

Medical image processing apparatus removes device area candidates from live X-ray images before position alignment to suppress artifacts.

A gaze position estimation system detects eye area size and position to calculate screen coordinates without complex iris analysis.

A GPU fragment processing unit detects axis-aligned texture coordinates and sends a reduced set to the texture processing unit.

A microscope image processing method sets uncaptured region pixel values based on captured edge pixels to create seamless combined images.

Segmenting point clouds into local regions and extracting key features reduces computational load while maintaining high matching accuracy.