Image Enhancement TRIZ Cases

A system multiplexes sensor data to reproduce target environments with visual and auditory impediments.

A digital dentition model deforms teeth along a user-drawn line to update arch contours.

A generation unit extracts pixel values from projection images at specific heights to create slab images.

A correction unit adjusts image brightness using illumination light source temperature characteristics without driving the light source.

Applying pre-computed projection matrices to 3D content creates an overlay that resolves visualization accuracy versus system complexity.

An image processing system preserves critical damage regions at high quality while compressing non-critical areas to lower storage demands.

Aligns fluoroscopy with 3D models using phase markers.

A medical image processing apparatus estimates three-dimensional models from two-dimensional images to identify tissue protrusions.

A mobile terminal image processing system evaluates real-time preview parameters using a pre-established model to display immediate quality feedback.

An image processing method computes intensity distribution and atmospheric light for partial pixels to generate transmission parameters.

True stereoscopic visualization of geo-registered 3D DBT volumes clarifies microcalcification distribution, reducing false positives from ambiguous 2D clusters.

A head-mounted display system corrects image data to align pixel positions with the optical axis.

Local ground truth corrects atmospheric distortions in satellite imagery for precise biomass monitoring.

An adaptive histogram equalization approach divides luminance values into three programmable regions to enhance video contrast independently.

A device combines standard and reference images in a high-resolution space to generate detailed output.

Removes normal variation from chip images to identify anomalies beyond standard behavior.

A medical image processing device transforms RGB signals into B/G and G/R ratios to separate observation areas in feature space.

Synthesizes virtual air-born particles matching video stream artifacts to resolve incoherent integration of digital content with physical scenes.

A sparsity-driven method decomposes registration parameter matrices into low-rank and sparse components to update transformation parameters.

A tomographic image reconstruction method applies compressed sensing to minimize a functional incorporating sparse representation in an orthogonal basis.

A guided ultrasound system updates reference images based on determined anatomical position to assist operators in acquiring correct views.

Mapping targets to a virtual space reduces processing load while maintaining detection accuracy for approaching vehicles.

Coupled photometric and multi-view stereo computations resolve integration drift and misalignment errors during dynamic 3D facial capture.

Monocular cameras identify ground plane intersection points to derive agent trajectories, replacing expensive LiDAR systems with scalable visual tracking.

Deep learning network analyzes intravascular ultrasound images to identify calcium deposits and generate visual overlays for physicians.

A self-influence determination system re-weights labeled medical images to filter noisy training samples.

A method classifies pixel object edges to determine camera orientation angles without assuming known object dimensions.

A machine learning system generates transform matrices to fit digital items to character models, correcting symmetry and clipping issues automatically.

A model forming apparatus recognizes unmodeled parts using preliminary 3D data to guide targeted photography.

A position estimation system matches captured images with stored map features to determine vehicle location.

Automated table positioning using deep learning organ center detection resolves manual operation inefficiency and movement inaccuracy.

A Segmented Sphere Projection method divides spherical images into arctic, equator, and antarctic zones for independent processing.

Multi-Gaussian segmentation resolves the contrast-detail trade-off by preserving image clarity during histogram specification.

Segmented registration and frequency filtering process MR lung images to generate quantitative ventilation maps.

An image processing device segments target images into foreground and background areas using pixel value histograms.

Selective attribute smoothing applied to reconstructed 3D point clouds reduces visual artifacts while minimizing processing time.

Fusing monocular images with laser distances generates accurate 3D models without complex calibration.

A determination unit compares foreground areas across captured images to identify moving objects.

Real-time face detection adjusts cropping boundaries to maintain image stability without restricting user mobility.

A handheld measurement system overlays position-referenced images onto live video feeds to mark desired construction points.

Specific wavelength bands replace invasive contrast agents, resolving procedure complexity while maintaining diagnostic accuracy.

Dynamic tone correction curves resolve the trade-off between automated histogram processing and user satisfaction by allowing manual control point adjustments.

A Velocity-Flow-Anatomy imaging system fuses near-infrared physiological maps with visible light anatomical structures into a single real-time display.

Generating care areas for integrated circuit inspection organizes defect regions sequentially, reducing stage movements and boosting throughput.

Multi-spectral high dynamic range imaging selects optimally exposed pixels to classify clots and bubbles in labeled specimens.

A semiconductor wafer detection system selects a template image with a matching average grayscale value to perform color difference analysis.

An image display device determines common regions across medical images and applies uniform enlargement ratios to align them on a single screen.

Digital imaging captures corn kernel dimensions to calculate average volume and weight, resolving accuracy errors from subjective assessments.

Computed-tomography systems extract defect regions from volumetric scans, reducing data transfer time while preserving inspection precision.

A method parameterizes scenes by calculating object size and distance using image recognition data assigned to specific object classes.