Image Enhancement TRIZ Cases

Image processing system subtracts sequential X-ray frames to visualize deposited embolization agent volume without manual mask selection.

Sensor systems block image acquisition when detecting bystanders, preventing unwanted radiation exposure in non-shielded environments.

Overlapping image localization tracks instruments against anatomy to reduce radiation exposure while maintaining high positioning accuracy.

Ultrasound imaging device automatically detects tissue boundaries using seed points and region demarcation modules, eliminating manual placement burdens.

A universal arithmetic operator processes MAC results across varying bit widths using configurable shift amounts and dynamic parameter changes.

Automatic shoppable video generation using deep convolutional neural networks to identify products within video scenes.

A judgment-assistance system extracts ball velocity and direction to automatically select relevant video frames.

Segmenting regions of interest by detecting edge intersections reduces computing resource consumption while maintaining measurement precision.

A system generates virtual viewpoint images from multiple camera inputs using background three-dimensional shape data.

Segmenting whole-slide images into tiles reduces memory requirements while maintaining classification accuracy without localized annotations.

Regulates image creation conditions using cumulative printed-paper counts to maintain quality.

Inertial sensors bridge camera latency gaps by providing high-frequency pose data, ensuring continuous tracking accuracy during fast user movement.

A digital optical holography device generates high-resolution 3D surface data sets using raster light interference and reference beams.

Deep learning model detects rotation parameters to correct images lacking straight lines, outperforming conventional methods.

A diagnostic assistance apparatus maps compressed breast shapes to non-compressed anatomy for accurate lesion documentation.

Photon-counting computed tomography determines thrombus location to resolve measurement precision versus device complexity contradictions.

A computing device assigns pixel labels to ultrasound images using machine learning models that process radio frequency data.

Multiple detection modules generate feature coefficients that determine a false contour coefficient, preventing loss of image details during artifact reduction.

A processor selects a specific color extraction algorithm from multiple methods to drive light effects based on video content characteristics.

A generator convolutional network synthesizes medical images from unpaired data using an adversarial discriminator.

A demosaic processing unit generates multispectral images from mosaic inputs using linear matrix operations.

Overhead and subsurface cameras track body position to control water flow, resolving inconsistent tracking caused by water distortion.

Tracker calibration device estimates transformation parameters to align independent coordinate systems, eliminating errors from assumed coincident positions.

An HDR image generating system performs motion analysis on lower dynamic range images to derive relative exposure levels for integration.

A mobile image processing method adjusts target application luminance and chrominance to enhance visual prominence against background icons.

A monochrome image processing system uses segmented conversion tables to adjust tone values within specific ranges for precise local modifications.

A semi-transparent detector array integrates active sensing elements with transparent regions to enable autofocus in night vision systems.

A moving body prediction device acquires movement, surrounding, and confirmation state information to predict future vehicle speeds.

A thermal sensor device captures heat signatures to align a ranging device, enabling distance measurement without complex optical processing.

Recursive scene splitting reduces metadata overhead in cloud-based HDR encoding by applying localized reshaping functions across distributed nodes.

A discrete total variation minimization algorithm adjusts pixel values based on local gradients to reduce image noise while preserving edges.

A fiber bundle image processing method corrects pixel information at fiber center positions to reconstruct high-quality images with reduced computational load.

A re-identification system estimates relative velocity to reduce candidate object comparisons across camera views.

An image processing apparatus manages specular reflection in endoscope images to support diagnostic workflows.

Mirroring electro-optical transfer functions expands the color gamut, reducing residuals and improving prediction accuracy in layered HDR coding.

A head-mounted display overlays visual control information of grading elements onto virtual reality video content for colorists.

Dual-algorithm image reconstruction blends full and short scan data to reduce noise in dynamic organ imaging.

A review apparatus groups defect locations and determines local reference sites to calculate positional offsets for precise re-location.

A reference image method captures fiber optic bundle distortions using uniform test patterns to enable precise electron microscopy imaging.

An automated system replaces manual log review by analyzing environmental data to suggest optimal fishing spots, reducing time spent on location selection.

A cell analyzer counts disease markers using switchable fluorescent dyes and super-resolution imaging to extract precise signal data.

An image processing method categorizes photos by activity type to generate highlight content.

A structural light source projects a known diffraction pattern onto surfaces for simultaneous dual-camera imaging to determine precise 3D coordinates.

Modular handheld RGB-D scanner processes depth maps in real time to resolve device complexity constraints during high-precision 3D modeling.

Segmenting image representations into localized regions resolves the contradiction between measurement precision and device complexity in fashion retrieval.

A unified control circuit aggregates video, audio, Wi-Fi, and RF sensor data to identify unmanned aerial vehicles.

A normalized zeta distance score calculates differences between test point and neighbor distances to identify anomalies.

AI models process drill cuttings images and mud gas data to predict rock porosity, bypassing time-consuming well logging operations.