Image Enhancement TRIZ Cases

An information processing apparatus calculates corrected contour points using transforming information derived from pattern and observed data.

An X-ray CT arithmetic unit calculates image quality scores for motion-corrected reconstructions to guide phase selection.

A spatial representation tool converts object trajectory data into contour-coded compressed images for rapid location retrieval.

Processing circuitry selects re-collection pulse sequences to maintain magnetic resonance image quality.

A distributed EHR system transmits camera parameters to patient devices to standardize wound image capture conditions.

Multi-scale parallelized iterative solver generates reflectance and shading intrinsic images, reducing processing time by two orders of magnitude.

Micro-region combining units merge noise-induced artifacts with neighbors to eliminate blurring and reduce vector data size.

Dual-energy x-ray attenuation surfaces map reference material path lengths to determine effective atomic numbers and mass thickness.

An object tracking apparatus predicts position using motion state data to maintain focus on the target.

A neural network trained with contrastive loss generates intermediate embeddings for reliable out-of-distribution input classification.

A pattern inspection apparatus switches numerical aperture modes to capture transmitted and reflected light images for photomask analysis.

A dual-path image processing method blends noise-reduced luminance with detailed second-order outputs to maintain natural appearance.

Processor corrects position data using pre-stored sets to maintain accuracy despite volume changes from doors or cargo.

Automated quality assessment of multi-modal image registration provides real-time feedback to reduce operator error and improve alignment precision.

Distance transform algorithms optimize fluid reservoir placement near tissue edges, reducing overlap and improving extraction yield.

Analyzing surface temperature distributions after cooling detects air gaps in gypsum boards, eliminating complex external heating equipment.

A stereoscopic detection system aligns user eye features to determine inter-pupillary distance for head-mountable displays.

Coherent beams create interference patterns to detect fluorescence fluctuations for in-focus signal selection.

A controller colorizes non-trichromatic vehicle images using reference values from trichromatic sources.

A parameter determination device generates ear canal shape data and calculates center lines to define cross-sectional layers.

A machine learning network optimizes ultrasound imaging parameters using patient and user data.

A detection method captures multiple images and computes difference image dots between successive frames to identify object movement.

Generative adversarial networks create synthetic MRI templates from functional data, eliminating the need for expensive structural scans.

Integrating multi-modality imaging data allows real-time trajectory adjustments, reducing tissue trauma while maximizing tumor resection accuracy.

A processing device measures ultrasound imaging frame rates against reference values to detect performance degradation.

Contrast enhancement expands pixel value ranges in point-of-sale imagery to support reliable digital watermark decoding.

A point image restoration processing unit applies a restoration filter based on the lens point spread function to correct optical degradation.

A linear model transforms color gamuts to achieve real-time calibration without requiring a color chart or shared field of view.

Drone captures wireless command responses to locate vehicles without manual license plate scanning.

Automated landmark detection replaces manual protractor measurements, resolving the trade-off between analysis speed and precision.

A line memory image converter manages data transmission using conversion specifiers to generate transform images.

A frequency component generation unit produces band-limited images to isolate specific spectral ranges for targeted gain adjustment.

Group mapping correlates multiline images with group index patterns to resolve tooth translucency and subsurface scattering errors.

Automated neural network training computes denoised noisy error against ground truth values to stop iterations within a threshold, reducing computational time.

Template matching detects rotation states using stored reference images, resolving the trade-off between detection accuracy and manufacturing cost.

A stereo on-vehicle camera system stores pixel-specific error data to correct image-forming position differences caused by glass shield refraction.

A 4D DSA framework delineates vascular volumes and extracts centerlines to determine blood dynamics measures.

A method restores abutment tooth finish lines by extending temporary boundary lines to supplement deleted scan data.

A magnetic resonance imaging method acquires T2* images with and without flow compensation to generate concurrent vascular data.

A computer-implemented method detects and measures plant stomata dimensions directly from leaf images using optical microscopy.

Sequential recording via a switchable mirror increases signal intensity by avoiding dichroic mirror losses and enables independent focus settings.

Hybrid localization corrects gps inaccuracies by matching lidar point clouds against stored references, achieving sub-meter precision without complex receivers.

A medical image registration system aligns ultrasonic and three-dimensional images using a skin marker as a common reference point.

A reducing unit and edge-preserving enlarging unit process image data at lower resolution to maintain sharp boundaries during smoothing operations.

Marker members and cameras convert coordinates to resolve visual determination errors for precise couch positioning.

A graphics processing unit with multiple processing clusters and a scheduler enables single instruction multiple thread execution to accelerate general-purpose computations.

Generative neural network translates expiratory CT scans to inspiratory equivalents, eliminating multiple volume scans and reducing radiation exposure.