Image Enhancement TRIZ Cases

A method localizes objects outside the reconstruction volume in projection images to reduce streak artifacts in X-ray data sets.

Circular surface light and optical sensors detect wire rod defects, replacing magnetic flux leakage methods to eliminate temperature sensitivity issues.

Image processing apparatus estimates blurring amounts to correct medical images without removing biological body motion.

An ultrasound imaging apparatus detects motion direction in three-dimensional data streams to automatically orient image planes for dynamic visualization.

A playback system adjusts target display brightness using content histogram data to optimize rendering.

An automated analysis system projects anatomical masks onto staining assays to locate features of interest.

An endoscope system generates oxygen saturation images using normalized signals from two specific wavelengths to enhance blood vessel visibility.

Attention network generates feature maps to guide object detection training, enabling local learning without cloud access despite limited computing power.

Automated 3D imaging replaces manual monitoring, eliminating labor-intensive observation while ensuring accurate calving predictions.

A plane association module links detected depth image planes to tool-planes with known positional relationships.

An electromagnetic navigation system tracks sensor location within the bronchial tree to update a three-dimensional model in real time.

A tumor grading system extracts image snippets and uses trained detection models to identify classification features for automatic diagnosis.

Self-service model retraining resolves the contradiction between reliable defect detection and adaptability to new demands.

A range map generation system fuses single camera images with LIDAR point clouds to estimate motion.

Pre-computed lookup tables convert azimuth and elevation data to earth-fixed coordinates, enabling real-time range estimation without ray casting.

Processor analyzes gradient ramps and intermediate depth pixels to detect contamination, maintaining measurement precision.

An adaptive image correction controller applies weighted corrective actions to CT scans based on local compensatory degrees.

An aircraft imaging system uses prisms and pinholes to inject light, creating calibration artifacts for precise orientation measurement.

A 3D eye tracking framework calculates visual axis orientation using elliptical iris projections from angularly offset sensors.

A depth camera assembly uses fringe interferometry with multiple wavelengths to determine distances in head-mounted displays.

Information processing apparatus detects object regions using distance and luminance data to identify local areas for precise target specification.

Server-side processing resolves mobile device power constraints while enabling realistic virtual object replacement and accurate lighting simulation.

Dynamic multi-objective optimization selects representative transient thermal responses, improving defect separation accuracy beyond Fuzzy C-means limitations.

A color enhancement method decomposes images into luminance and reflection components to adjust brightness independently.

Foreground-background separation calculates immersion factors for image regions to drive adaptive enhancement processing.

An XR device processes a user face image by detecting and removing non-facial objects like glasses to generate a clean 3D model.

Magnetic coupling secures a two-part tissue imaging cassette, maintaining environmental stability and reducing artifacts during live cell imaging.

An image analysis system detects near-field obstructions by measuring edge density in captured frames.

Frequency domain transformation enables seismic data inpainting to correct distortions from gas clouds and restore accurate depth readings.

Machine learning models analyze cross-correlation values to estimate sub-pixel displacement, resolving accuracy limits caused by low optical sensor resolution.

Digital maps derived from Earth Observation Satellite data identify poor performing field areas.

Segmenting in-vivo image streams allows parallel transfer and processing, eliminating sequential delays to enable real-time viewing.

Grouping pixels into super pixels reduces computation time while maintaining segmentation reliability in areas with depth discontinuity.

Electromagnetic sensors determine tool position within luminal networks to display depth indicators through a single optical sensor.

Auxiliary sensors detect door events and motion to trigger image capture, reducing power consumption while maintaining accurate cargo monitoring.

A processing system combines object point clouds with silhouette-derived shape volumes to generate accurate three-dimensional models.

A visualization system captures identification data from component markers to determine suitable connections and provide visual guidance.

Model pose characterization replaces heatmaps with joint coordinates, resolving accuracy issues in human pose transfer.

Automated image analysis verifies tubing connections in modular bioprocess systems, reducing manual setup errors and improving configuration accuracy.

Spatially pseudo-random filter captures light with multiple intensity levels, reconstructing high dynamic range images from a single exposure.

A 2D lookup table calibrates black values and adjusts CMY levels to enhance text legibility in image forming apparatuses.

A correction unit expands the outer edge of a defect region to increase pixel count for learning data generation.

Neural networks extract three-dimensional geometry from static features to resolve localization accuracy limits in complex urban environments.

A single camera determines object velocity by transforming image sequences and applying a machine learned model to calculate relative motion.

A multiview image processing method restores hole regions by determining candidate blocks based on similar form distribution features.

A mobile terminal receives video images of automatic parking to allow remote driver oversight.

Principal component analysis filters environmental noise to estimate breathing rate in uncontrolled settings.

A rescue request apparatus traces a recorded movement trajectory to reach radio communication coverage.

A compact contrast-sensitivity test device uses a smartphone camera to capture visual targets for objective measurement.

Processing circuitry applies MTI filters to unequal interval data sequences from multidirectional plane wave scanning to extract blood flow signals.