Image Enhancement TRIZ Cases

Optical sensors and infrared thermography measure thermal expansion in multiple directions simultaneously, eliminating destructive sample preparation.

An image processing apparatus extracts object regions from captured images to generate spatial information with reduced memory usage.

A three-frame difference target-tracking system identifies movement direction using aligned image frames.

A dual inspection system combines machine vision and AI modules to analyze digital images for part quality determination.

A K-space denoising method calculates maximum likelihood and posterior probability estimators using sparsity constraints to improve diffusion tensor accuracy.

A 3-D vessel surface reconstruction method uses centerline registration to build accurate geometry from limited 2-D angiography images.

A detection method using multiple electro-optical imagers and a processor to analyze video output, preprocess signals, extract features, and classify detections as weapons fire or false alarms.

Convolutional neural networks analyze reduced video frames selected by audio cues to predict projectile trajectories.

A LiDAR processing method tracks environmental features by projecting point clouds into images and comparing neighboring windows.

A virtual mask filters static motion signals within acquired surveillance images to maintain accurate object tracking.

Sensor array analyzes reflected light color saturation to determine object position, replacing manual visual judgment with automated optical measurement.

Local opacity adjustments capture subtle gradations in hair and fur details, resolving the trade-off between global mask quality and precise segmentation.

A mobile device detects hazards using camera and sensor data to generate position-label pairs.

Multi-viewpoint image processing removes obstacles using disparity information to generate clean subject images.

A processing apparatus applies F-number-specific filters to restore degraded images captured through optical elements with varying transmittance.

A tunable neural network generates adaptive instance normalization coefficients to modify facial identities in images.

Distance-based connectivity weighting excludes remote bone structures with similar densities, improving medical imaging accuracy without prior knowledge.

A semantic SLAM framework generates 2D keypoints and camera pose data to track objects in world coordinates.

A sensor system applies a tuned mapping function to low quality data samples for high quality output.

A spectral correspondence method aligns brain surface meshes using graph Laplacian eigenvalues and node weights.

A neural diffusion model sets object-specific randomness levels to extract partial preservation areas from noised images for denoising.

A palm distance detection method uses a camera module and multiple distance sensors to calculate identity marker position.

Bracketed exposure depth imaging corrects variable illumination to estimate patient structure, reducing repeat scans and radiation exposure.

Boundary cell flood filling and convex hull filtering extract building outlines, reducing labor intensity for BIM modeling.

Deep learning extracts PPG signals from facial video to determine heart rate, mitigating pathogen transmission risks associated with contact-based sensors.

SLAM mapping identifies misplaced items in real-time, reducing search time while balancing energy consumption through periodic processing.

A guided backpropagation method refines coarse depth maps using redundant image regions.

Automated fractal dimension calculation replaces subjective clinical evaluation, resolving the contradiction between assessment accuracy and system complexity.

Ultrasound speckle tracking quantifies uterine strain through automated optical flow analysis.

Image analysis system detects insects on substrates using trained software to trigger robotic action heads for physical removal or marking.

A display control unit generates abnormality data on three-dimensional facility models by combining sensor inputs.

Sequential box filters calculate blurred pixel values to reduce mathematical operations in real-time video processing.

A hybrid eye gaze tracking system calculates vectors using corneal reflections or head pose estimation.

A tile-based graphics processor detects empty tiles to omit processing stages.

Multi-camera video system tracks participant pose to determine three-dimensional motion paths for impact identification.

Automated image processing compares live apparatus visuals against reference databases to eliminate manual inspection delays and reduce downtime.

A track-based scanning system guides a conventional 2D ultrasound probe for incremental scans to assemble volumetric data.

Automated image recognition replaces manual data entry, resolving the trade-off between monitoring accuracy and operational convenience.

Segmenting 3D image data into regions and calculating normalized heights creates accurate trailer utilization models despite chaotic freight arrangements.

A processor generates superimposition parameters from projected marker positions to display virtual objects in real space.

Calibrated IP cameras map pixel coordinates to metric space for accurate object tracking across wide areas.

A pixel difference calculator determines motion levels using positive and negative counts to weight image blending.

Combines coarse offset calculation with fine alignment to resolve robustness issues in sub-7 nm wafer inspection.

A bitmap object cache stores references to generated bitmaps from vector sources, enabling efficient retrieval and display of animated images.

Contrast adjuster processor generates compensated image signals for anaglyph displays.

An image processing apparatus adjusts extraction region position and range to isolate suitable color data for model preparation.

A crosswalk marking estimating device uses template images to acquire end candidates from planar-view road surface images.

Image processing device sets motion reference axes to compare player and professional golfer swings.

Simulated crack specimens replace physical manufacturing to qualify radiographic systems, reducing validation time and cost while maintaining detection reliability.