Image Enhancement TRIZ Cases

Geometrically biased historically weighted RANSAC determines dominant motion to remove unwanted camera shake and rolling shutter effects from video sequences.

A subregion-based system recovers albedo, geometry, and illumination from single face images using Markov Random Fields energy minimization.

A navigational system generates three-dimensional renal maps using preoperative CT scans and real-time endoscopic video tracking.

A flow line synthesis device combines first and second trajectory data into third information when overlap conditions are met.

A parking space detection system analyzes positional relationships between lane lines and vehicles to determine usage status.

Automated image processing replaces subjective surveys by tracking facial expressions and body movements to capture spontaneous reactions in real time.

Procedure selector adapts image processing to cell culture stages using pixel value distributions, resolving evaluation errors from structural variations.

An ultrasound diagnostic device automatically sets a region of interest based on extracted anatomical positions.

Segmenting images by pixel similarity extracts features from complex shapes, resolving accuracy and processing load trade-offs.

A computer aided diagnostic system fuses global and local features from multi-view mammograms using tailored convolutional neural networks.

A wearable system uses infrared sensing and transparent displays to present real-time depth data directly into the user's field of view.

A color line sensor uses parallel processing channels to rescale grayscale and color image lines simultaneously.

An electronic device performs tone mapping on image frames based on metadata brightness values.

Periodic sampling aligns with rotational frequency to achieve high angular resolution without expensive high-frame-rate equipment.

A measurement system uses a charged particle scanner and processor to locate structural elements within a defined measurement area.

Depth estimation selects the nearest eye for focus, resolving accuracy issues when subjects face away from the lens.

Segmenting three-dimensional point clouds into cross-sections separates aerial lines from tree noise, improving extraction accuracy in complex environments.

Triangular network models convert point cloud data into feature maps to resolve detection accuracy issues in static maps.

A projector and camera system capture hand motion parameters using structured light patterns to classify user gestures.

Classifying pixels into types enables kernel filtering that removes noise from point clouds, improving segmentation accuracy for flexible objects.

Parallel optical axes and adjacent sensor readout areas derive disparity information to resolve missing depth data in stereo imaging.

Capturing a pre-capture image preserves iris color information lost during strobe flash, enabling natural-looking corrections.

Combines object detection with segmentation to isolate targets and normalize pixel values within rectangular regions.

Orthogonal cameras measure tray base contours and height to eliminate manual input errors and optimize film cutting length.

Applying region-specific filter parameters to segmented terrain areas resolves the contradiction between filtering speed and accuracy in digital ground models.

A structured-light scanner captures pinna geometry to generate user-specific head-related transfer functions for spatial audio rendering.

Embedding elongated fiducials within imaging data eliminates synchronization errors from separate monitoring datasets and reduces system complexity.

Video cameras analyze binary large objects and contours to detect fire and smoke, expanding coverage beyond enclosed spaces.

A phase difference image sensor calculates defocus amounts to assess captured image quality.

A bottom-up instance segmentation method uses spatial embedding to identify boundaries and shared pixels between overlapping nuclei.

Normalized and non-normalized shading components reduce processing time while eliminating unnatural boundaries in stitched virtual slide images.

Monochromatic image sensor captures diffracted light patterns for simultaneous yarn diameter and foreign fiber detection.

A neural network analyzes live video feeds to classify human actions and generate procedural instructions for real-time quality validation.

Gradient-based displacement vectors shift pixel values to counteract interpolation blurring, preserving high-contrast edges during digital zoom operations.

Non-contact 3D laser scanning measures rail alignment and camber to eliminate manual access requirements and reduce operational downtime.

A camera control apparatus determines target positions for objects during mode transitions.

Overhead LiDAR sensors create 3D point maps to detect humans in hazardous zones, eliminating complex wiring and unnecessary machine shutdowns.

Subtracts aligned baseline from ictal images, then filters irrelevant high-variation areas by retaining only regions with local maxima.

AI-based classification of non-contrast CT images identifies LVO biomarkers like eyeball deviation, resolving subjective radiologist interpretation delays.

Hierarchical coverage tests filter triangle intersections in a soft rasterizer, reducing redundant computation and improving processing speed.

Interpolated images merge high-pass filtered detail to enhance spatial resolution across non-overlapping spectral bands.

Automated image processing replaces manual database searches, resolving the trade-off between identification accuracy and time consumption.

Segmenting head and trunk sensors resolves the trade-off between device complexity and viewing naturalness in virtual reality displays.

Tracking system maps pixel coordinates to physical locations using homographies and contour dilation for real-time object detection.

Automated segmentation of HIFU-treated volumes via contrast-enhanced MR imaging replaces manual contouring to reduce processing time while maintaining accuracy.

A method isolates printed layers to generate 3D models for real-time comparison against design specifications.

A medical care support device derives lung calcification degrees using learned models that process breed and age information alongside medical image data.

An automated system processes radiography images to extract defect information and generate repair recommendations for industrial components.

A moving object tracking apparatus enhances fluoroscopic images using frequency filters to detect targets accurately.

Dynamic ad hoc calibration compensates for manufacturing drift by recalibrating intrinsic parameters during operation to maintain image rectification accuracy.

A distance measurement device modifies feature point scales using dual distance ratios to enhance environment map generation accuracy.

Autoencoder generates site-specific distributed representations from partial images, resolving black box encoding issues in abnormality detection.

A generator transfers real two-dimensional medical images into a synthetic image domain using generative adversarial networks.

A registration component aligns printed pages with source images using corner and local feature detection.

Portable device captures rack images and aligns visual overlays to identify equipment positions, eliminating manual data entry errors.

A neural network generates probability maps to determine directional characteristics for accurate augmented reality object placement.

Segmenting alignment into sequential directional steps excludes position shift influences, resolving distortion and improving precision.

Electronic apparatus retrieves preset interaction relationships to generate predicted trajectories for autonomous vehicles.

A method generates three-dimensional display data sets by analyzing time-intensity curves from multiple x-ray projection images.

Recurrent neural network processes voxel features to resolve accuracy degradation from varying slice counts in 3D medical images.

A Bayesian fusion algorithm combines multiple image capture results to improve recognition probability.

A seven-element imaging lens uses aspheric surfaces to correct optical aberrations across a wide field of view.

An in-loop temporal pre-filter combines input and reconstructed frames to enhance temporal correlation.

Multi-wavelength lighting selects optimal wavelengths via contrast optimization algorithms to resolve inadequate image contrast on planar specular objects.

Segmented training moves computation to a server, reducing client CPU usage while maintaining image processing quality.

A microorganism sample compressed between two plates enables rapid imaging and cell viability dye monitoring.

Panel transform maps omnidirectional pixels to rectilinear coordinates, resolving distortion that hinders accurate distance and speed assessment.

Monocular image processing filters skeletal joints using previous video frames to determine user pose without depth sensors.

Automated inline inspection system scans semiconductor wafers using a high-resolution line scan camera during transfer between processing stations.

A monolithic radio-frequency imaging sensor integrates source, array, and detector on one substrate.

A system interpolates frequency spectrum data from low-resolution tiles to generate high-resolution image segments.

A detection apparatus analyzes speed changes in movement information to determine if an object approaches a vehicle travel direction.

A method extracts partial regions from 3D volume images to determine global conversion functions for generating comprehensive volume-panorama data.

A deep machine-learning model estimates three-dimensional object representations and supporting planes directly from single two-dimensional images.

Contour extraction guides logical operations on bright field images, preventing erroneous recognition of overlapping fine particles.

Aligns panorama regions via GPS feedback to resolve curvature issues and improve comparison reliability.

Multi-scale inference and non-maximum suppression replacement reduce computation time while maintaining object detection accuracy for real-time applications.

Convolutional neural networks process droplet image sequences to count cells, resolving occlusion errors that compromise monoclonality assurance.

Multi-level cue algorithms convert raster images to vector layers, improving feature extraction accuracy for diverse types like roads and railways.

A content control module filters personally identifiable information from screen recordings before public sharing.

A system fuses radar and camera data to calculate full velocity vectors for autonomous vehicle navigation.

Motion detecting device clusters angular velocity periods to identify repetitive movements without requiring specific training datasets.

A lighting-on device aligns probes with display panel pins using marker imaging and automated position adjustment.

An endoscope processor controls marker image display across two screen regions based on calculated oversight risk levels.

Artificial intelligence generates flow information from patient-specific carotid artery geometric parameters to predict stroke risk.

Analyzing historical inspection data allows the controller to flag reinspection needs, resolving missed detection issues during subsequent procedures.

A multiscale processing system extracts view and scene features from posed images at different resolutions to generate multiplane image representations.

A segmentation model applies to a time sequence of two-dimensional images simultaneously in time and space.

A digital image editor overlays measurement markers on objects using a reference object with known dimensions to calculate actual sizes.

An endoscopic image processing apparatus generates a display image with main and sub-screens to detect lesion candidate regions.

Optical measurement system calculates moving object speed and length via image processing, eliminating complex calibration and reducing hardware costs.

A star tracker uses vector-based deep learning to determine attitude with low-cost CMOS detectors.

A controller selects between time difference and phase difference ToF sensors based on pixel data to determine target distance.

Segmented detection filters impassable roads to provide specific obstacle data without increasing processing complexity.

A camera system records digital color images for automated marker identification.

Blends input and reference segmentation data to stabilize object classification, eliminating flicker caused by device-specific camera variations.

Dynamic bitrate control reduces data volume while maintaining position and orientation detection accuracy in mixed reality systems.

Modulating 940 nm VCSEL pulses synchronizes with quantum film sensors, rejecting sunlight interference and improving outdoor signal-to-noise ratio.