Image Enhancement TRIZ Cases

Imaging device captures trailer contours for controller analysis to predict hitch angle.

Image processing apparatus detects noise lines by extracting edge pixels to define document and shadow regions.

Registers lower spine images to correct upper spine alignment for accurate rotation parameter calculation.

An analysis apparatus extracts similarity points from motion data to calculate time intervals for operation periods.

A classification framework analyzes pixel boundary values to distinguish synthetic panoramic images from natural content.

A camera system uses a non-rectilinear lens with a magnification gradient to capture images at intermediate focal lengths.

Continuous time trajectory functions map recorded human motion to virtual paths, replacing synthetic trajectories with realistic user movements.

A system generates ground truth datasets by computing camera poses within LiDAR static-scene point clouds to align image data accurately.

Image processing apparatus estimates and interpolates frames to align multi-channel x-ray streams.

Segmented loss functions with Sobel and gradient constraints resolve over-blurring while preserving detailed image features.

A camera system uses infrared illumination to capture depth maps and identify scene geometry.

A monocular depth estimator training system aligns virtual and real camera intrinsics through 3D point cloud reprojection.

Segmenting image enhancement from recognition reduces power consumption and heat generation in deep-learning processors.

A two-dimensional code generation method applies structured processing to match pixel distribution before performing style transfer on a background image.

An intermediate image mediates large face deformations, reducing ghosting artifacts while maintaining processing speed.

Gesture capture device projects structured light to generate skeletal models, enabling remote laser tracker control without wireless interference.

Machine learning models identify hidden factors in medical data to improve prediction accuracy without requiring established causal relationships.

Processor registers new images to determine displacement data for 3D map positions, avoiding full recalculations that increase processing capacity.

A gradient optimization method suppresses adversarial noise and enhances contour features to improve image recognition accuracy.

Automated CT imaging system measures abdominal muscle mass to determine parenteral nutrition dosing parameters.

Concentric circle overlays determine dendrite parameters independent of microscope calibration, eliminating measurement errors from equipment changes.

Extracts phenotypic sites from person images to generate genetic information.

Otoscope computing module calculates overlap percentage to guide users toward standard eardrum images for accurate otitis media diagnosis.

Segmented infrared detection filters object reflections to resolve measurement precision versus productivity trade-offs in touch tracking.

A vehicle distance estimation method classifies objects into discrete size categories using median feature measurements from image frames.

Segmentation modules compute aspect ratio and eccentricity data to resolve measurement precision versus time loss trade-offs.

Machine learning algorithm verifies scan plane orientation, eliminating manual anatomical knowledge requirements and positioning inaccuracies.

A heuristic method detects fingertips using 3D geodesic distances from a hand region center.

A vehicle liftgate camera detects objects in the closing path to estimate their trajectory for automated speed control.

An information processing apparatus adjusts sound collection based on user upper body state.

A patch-based multi-scale Transformer processes images at native resolution using hash-based spatial embedding to capture information across granularities.

Image processing calculates precise foot dimensions from a single photograph, replacing complex 3D scanning hardware with simple optical capture.

Segmenting a target into tracked body parts maintains identification continuity when the whole object exits the field of view or becomes obscured.

Optical sensing devices detect tracker light emitters to verify placement, resolving motion tracking sequence accuracy issues.

Binary image processing guides actuators for targeted herbicide application, preventing failures through fault detection algorithms.

A depth-stage dependent and hyperparameter-adaptive lightweight CNN model named Faster R-Stair processes road crack images.

Strategic openings in color filter portions distribute light evenly across pixel sets to enhance display brightness.

An information processor allocates presentation data across multiple output terminals based on a user moving path.

A face verification method generates synthesized images to replace occluded regions and extract accurate features.

A zoom lens determines its focal length setting by capturing distorted images and applying edge-detection algorithms to identify representative distortion patterns.

Pre-calculated candidate positions reduce calibration time by eliminating sequential shifting delays.

Sequential filtering using Mahalanobis distances reduces impulse noise while maintaining processing speed and edge sharpness.

An exposure strobe time controller compensates for phase offset errors in high-speed variable focal length lenses, enabling accurate Z-height measurement.

A motion vector merging unit combines self-motion data with captured image data to detect accurate vectors.

Automated calibration system generates a reference coordinate frame aligned with a meeting room table using off-the-shelf RGB cameras.

Dynamic face blurring protects privacy by default while restoring image utility upon user authentication.

A medical image processing system transforms a DBS targets atlas to a subject brain space using the DARTEL algorithm and marks coordinates with the largest Voxel value.

A motion capture system derives path characteristic metrics from body element data to define ideal activity paths.