Image Enhancement TRIZ Cases

A camera creates depth maps by varying focus settings across selected sub-areas to determine precise distance data.

An adaptive frame sampling system reduces camera shake in egocentric videos by selecting frames that minimize deviation from the moving direction.

Medical image processing apparatus extracts heart valve leaflets and measures contact region lengths along the blood flow direction.

System scores video objects to identify primary and secondary subjects, applying effects automatically instead of manual selection.

Four-framework servo system compensates for target motion to maintain measurement precision during real-time tracking.

Electronic image capture devices generate synthetic ceiling images to identify luminary candidates and convert pixel areas into metric data for automated counting.

Combining 4D CT and MR time series data aligns respiratory phases, improving soft tissue contrast for accurate dose distribution.

Image processor detects transparency patterns and applies smoothing to bitmap data, preventing color reproduction deterioration during RGB to CMYK conversion.

A vehicle non-contact operating apparatus adjusts detection results based on motion data to suppress occupant movement effects.

Optical coherence imaging detects subcellular motions in three-dimensional tissues to predict drug efficacy without toxic chemical stains.

Ultrasound guidance system matches current probe views to reference atlases for dynamic feedback.

A computer vision system merges aerial imagery with heightmap data to create a combined image for automated object analysis.

A monocular system estimates a dynamic ground plane using structure-from-motion to compute stable object poses.

Partitioning image data into portions adapts templates to extract myocardial contours, resolving non-homogeneity issues in scar tissue areas.

An attention model generates features to focus on regions of interest in medical images.

Augmentation unit increases training data volume while excluding defective image regions from the learning process.

A system generates facial models by clustering machine vision images into representative clusters based on metadata.

A signal detector unit segments electromagnetic radiation into indicative and non-indicative entities using a skin color model.

Motion distortion correction algorithms adjust image coordinates using robot velocity profiles to maintain measurement precision at high transfer speeds.

Electronic device captures and extracts perimeter stain images to estimate formation time using major axis length and width measurements.

Synchronizes extracted object images by correcting orientation, position, and size across multiple input frames.

Segmented template matching reduces processing time while maintaining high accuracy for complex integrated circuit layouts.

Processor generates 3D occupancy maps from depth datasets to estimate resected tissue volume, confirming adequate removal before procedure ends.

A processing device splits images into regions to calculate histograms and generate contrast conversion functions for pixel adjustment.

A camera module controller adjusts video recording attributes based on detected object velocity.

Camera behind display modifies image to align remote eyes with camera axis, resolving parallax errors without mechanical movement.

A machine learning model predicts medical image registration failures using historical training data to enable automated correction workflows.

A trained machine learning mechanism scores joint-candidate sets to extract key values from document images.

Segmenting character blocks into achromatic and chromatic categories enables differential compression that reduces PDF file size while preserving image quality.

Synchronizes X-ray fluoroscopy with intravascular data using a vessel centerline reference for precise lesion localization.

Controller disables driver facing camera during stationary vehicle states to reduce video storage usage.

Iterative algorithms estimate scatterer distributions to reduce blurring across the entire imaging depth.

Convert motion trajectories into images using position and time elements to extract robust feature vectors.

A machine-trained classifier estimates blood flow using synthetic training data, eliminating the time and cost of gathering patient-specific examples.

A human segmentation method merges template-based detection with deep neural network analysis to produce composite results.

Hierarchical segmentation resolves overlapping vessel ambiguity, enabling accurate structure prediction and lesion identification.

Critic network guides segmentation masks to match higher-order structures, resolving accuracy limits from limited training data.

Projected light patterns provide real-time visual feedback on scan quality, eliminating the need for display monitoring and reducing time consumption.

Augmented reality processing device uses point cloud matching to superimpose virtual objects onto physical environments.

Parametric model fitting reduces data volume and processing time while maintaining reconstruction accuracy for static and dynamic shapes.

A system predicts scan parameters using pre-scan physiological motion data to automate medical imaging setup.

Recording peak luminance metadata in HDR files enables tone mapping that preserves intended brightness when converting to SDR environments.

Front and rear facing cameras image the side area of large vehicles to identify moving objects in blind spots, reducing collision risks during turns.

A body and hand association method calculates circumscribed boxes to determine hand ownership accuracy.

A deep learning model encodes content into blended images using a convolutional autoencoder architecture.

A system synthesizes defect images by extracting and transforming sample areas to create diverse training data.

A vehicle system generates a virtual grid to estimate trailer size by analyzing occupancy frequency from existing sensors.

Image-based template matching locates graphical encoding indicators on physical trading cards using stored control point templates.

Pyramidal directional filter bank contourlet transform extracts curve-like features from MRI images for automated brain disease classification.

Dynamic range surface and end-of-range display track ball trajectories to provide real-time visual feedback for multi-user play.

Correlating noise estimation with neighboring CT data enables adaptive de-noising that reduces artifacts without blurring signal contrast.

A real time imaging system captures assay images to evaluate staining quality during processing.

A device estimates the eyeball central position and radius using head posture data and feature coordinates.

An image display apparatus detects digital image edges to enhance visibility on small screens.

A live camera feed analyzes object identity to generate augmented reality overlay data with location-specific tags.

Extracting secondary spectra from chronologically acquired sub-spectra resolves the trade-off between device complexity and image quality.

A surround view system maps visual data onto a three-dimensional model to generate virtual views.

A machine learning apparatus generates an intermediate image with stable artifacts to facilitate precise correction.

An image processing apparatus segments ultrasonic signals into fundamental and harmonic frequency bands for independent reconstruction.

Automated phase classification of k-space data eliminates manual event identification, reducing motion artifacts and operator burden in cardiac MRI.

A robotic end-effector uses contact force sensing to construct intraoperative volume models of anatomical organs.

A computer-implemented algorithm refines segmentation masks by incorporating user-defined fuzzy areas as constraints.

A stereo camera system acquires disparity information to diagnose lens states and adjust illumination or posture settings.

A trained classifier segments optic nerve cup and rim pixels in retinal images using stereo disparity features.

A photorealistic image augmentation method transforms source graphics using inverse homography functions to align with target image planes.

A controller identifies object colors via image analysis to assist users with visual impairments.

A spatially variable mapping projects wide-angle images onto a two-dimensional plane while preserving locally salient features.

Virtual surface reflections in OCT images reduce cognitive burden by transforming volumetric data into familiar 2D views.

A cloud texturing system modifies image content using fractal Brownian motion to generate self-similar surface patterns.

Segmenting 3D tomosynthesis volumes into 2D slices reduces computational complexity, enabling real-time registration with ultrasound for faster diagnosis.

A unified multi-task deep learning machine integrates object detection and face alignment using shared hierarchical convolutional layers.

Image processing system segments pixels by color similarity to isolate front view objects from backgrounds without user interaction.

Information processing apparatus extracts characteristic points from input images to guide data reduction of secondary images.

Segmenting images into subject and background regions reduces calculation time while maintaining high resolution for the primary area.

An overprinting inspection apparatus compares succeeding print data with a difference image derived from post-overprinting media to identify printing defects.

A medical imaging workstation uses a machine learning classifier to assess image quality during acquisition.

A guide image selects component images for cross-filtering to generate filtered deconvolved images with reduced chromatic aberration.

A discharge apparatus creates a sprayed symbol on a subject to serve as a reference point for image superimposition processing.

Image processing device calculates real space coordinates from moving images using reference points and physical characteristic points.

Automated motion detection calculates frame correlation derivatives to identify movement, reducing re-scan requirements and improving diagnostic quality.

Digital image analysis reconstructs raster structures to identify hidden security features.

A time-of-flight camera system processes reflected light signals using multi-phase control to generate depth data.

A Koopman operator lifts non-linear state variables to linear feature space for efficient object movement prediction.

Classifies high-resolution pixels to identify smooth regions and selectively filters them, removing contouring artifacts while preserving edge sharpness.

Contrast-enhanced image pipelines process orbital data to detect unknown resident space objects, resolving collision risks amid growing satellite density.

Image information acquiring system calculates relative pixel values and orientations to determine image similarity.

A video processing system generates a combined saliency map by weighting spatial and spatio-temporal features for consistent object identification.

Visual markers replace complex motion sensors to improve distal joint identification accuracy while reducing system complexity and error rates.

A display apparatus adjusts black region luminance in partial images to manage power consumption during high dynamic range operation.

Sequential illumination with plane polarized rays eliminates moiré patterns and color mosaic interference, enabling accurate surface micro-geometry analysis.

A rasterized image processing method adjusts neighboring pixel values to create steeper transitions at boundaries.

A method quantifies red blood cell deformability by measuring the proportion of cells exhibiting tank-treading motion under shear flow.

Scale plates provide reference markings that enable accurate three-dimensional position measurement and alignment without complex mechanical sensors.

A system detects and removes shutter edges from medical images using multi-resolution analysis.

Motion vectors bridge visible and obscured hair follicles, maintaining precise tracking within the camera field of view during patient movement.

Edge devices analyze live camera feeds to detect hazards, while gateway relays bypass hierarchical bottlenecks that delay critical safety notifications.

A single camera system recovers absolute 3D human poses using deep neural networks and geometric constraints.

Aircraft baggage stowage system uses detectors and processing units to map optimal storage positions for cabin compartments.

A video system segments conference room views into depth-based frames to balance participant visibility.

A motion detection system identifies moving and static objects by clustering spatial attributes across data frames.