Image Enhancement TRIZ Cases

Multiple fisheye cameras capture images processed by neural networks to reconstruct 3D spatial data, avoiding complex depth sensors.

A 3D image reconstruction method segments highly absorbent regions to generate mask images for selective backprojection.

An information processing apparatus extracts target regions from images and generates training data by selectively changing pixel density values in non-target areas.

A digital image measurement system uses sub-pixel corner detection to track feature point displacement on specimen surfaces.

Image processing device calculates correction gains from common regions across multiple images to correct shading artifacts.

A multi-view deep learning system detects illegal parking by matching camera angles and segmenting vehicle instances in video streams.

A modulator with multiple patterns changes light intensity for a gesture detecting unit to restore images without bulky sensors.

Folding volumetric data creates mirrored intensity channels that highlight asymmetric pathologies, resolving detection accuracy issues in subtle stroke signs.

An image recognition system identifies commodities to prevent duplicate barcode scanning errors while maintaining accounting speed.

A depth data generation system converges independently-captured depth maps to form a unified representation.

A person detection apparatus selects umbrella-hold or no-umbrella recognition models based on determined weather conditions to process input images.

Infrared tracking of a ball holding device enables accurate trajectory simulation for realistic sports training.

Machine learning models replace depth sensors for body part recognition, reducing system complexity while maintaining high accuracy.

A computing device selects a target convolutional layer to extract features from test images for defect detection.

Post-training adjusts a generative model's parameters to produce training images with accurate spatial structures, reducing reliance on scarce real-world data.

Marker detection unit tracks device positions to correct motion between X-ray contrast and fluoroscopic images.

An image processing system configures collection conditions to selectively store relevant attribute information from buffer areas.

A prediction model determines optimal temporal masking sequences for simultaneous localization and mapping algorithms.

A colorimetric image processing module analyzes pixel data using the RGB model to identify glass-ceramic fragments in cullet.

Segmenting the image into subject and background regions resolves the contradiction between generative versatility and reliability.

Multi-threaded perception system processes camera and radar data to detect vehicle lanes despite LIDAR unreliability in adverse weather.

GPU particles simulate numerous point light sources without increasing real-time rendering load, maintaining device performance and visual realism.

A single infrared camera calculates human distance using body feature ratios extracted from image data.

An optical vision system verifies pipette tip location and liquid volume during manual transfers, preventing positional errors in laboratory settings.

Applies swath-specific position offsets to resolve location errors caused by stage accuracy limitations.

A system generates building floor plans by analyzing visual data from multiple image acquisition locations within the structure.

A monocular camera detects door openings by connecting edge points into long lines and calculating a vanishing point for candidate verification.

A medical image processing apparatus generates a corrected image by blurring an inferred first region to stabilize inference accuracy.

Hot scan inspections capture wafer defect positions, enabling coordinate-based analysis that suppresses nuisance events and improves detection throughput.

A computing apparatus translates sensor frames into a common coordinate system to merge point cloud data for moving packages.

A multi-modal system extracts features from medical images and histopathology data to generate a unified representation for cancer analysis.

A gaze angle determination apparatus analyzes facial landmark points to generate a heatmap for virtual image correction.

Automated retina layer segmentation processes Optical Coherence Tomography data to derive comprehensive diagnostic assessments.

Positioning the camera to capture direct reflection ensures sufficient luminance for accurate level detection of clear liquids.

Adaptive partitioning divides remote sensing images into cluster areas, selecting models to reduce power consumption while maintaining detection accuracy.

A computer-implemented method applies correction factors to initial body measurements derived from images using supplemental mobile device sensor data.

An iterative method selects optimal parameterized tooth models from a database to automate virtual restoration determination.

Dynamic image processing adjusts modes based on detected pixel changes, reducing CPU load while maintaining recognition accuracy.

Spatiotemporal metrics guide quantization processes to reduce spatial artifacts and temporal flickering in encoded video streams.

A LIDAR processing system extracts planar features and estimates their attribute uncertainty to generate navigation solutions.

Concurrent magnetic resonance imaging guides computed tomography reconstruction to correct motion artifacts in cardiac scans.

A patient adaptive object model transforms medical images by aligning shapes from different modalities.

Multi-core processor architecture processes degraded infrared images through parallel correction modules, reducing latency for high-speed aircraft detection.

A vision constraint method updates digital human model posture using head-target distance and target orientation parameters.

Dynamic cine-loop length adjustment eliminates stitching artifacts by aligning the end frame with the object period.

Platinum and nickel catalyst on hydrotalcite converts lignin into phenolic building blocks while minimizing coke fraction formation.

Image tracking automates marker correspondence detection to eliminate manual positioning labor and improve correction efficiency.

A controller encodes multiple camera feeds in parallel to generate a seamless 360-degree virtual reality video output.

A specialized image restoration filter corrects chromatic aberration by minimizing spectral discrepancies across color channels.