Image Enhancement TRIZ Cases

Phase correlation aligns 3D medical images via Fourier transform, resolving non-convex optimization challenges from non-rigid deformations.

Generates a two-dimensional point cloud image from three-dimensional data to determine projection coordinates based on reference plane graph consistency.

An algorithm converts nipple colors to CIE L*a*b* space to match lipstick shades, eliminating manual trial-and-error.

Visible near-infrared hyperspectral imaging analyzes spatial component gradients to distinguish naturally formed meat from artificially recombined fake meat.

Fourier noise ring markers encode unique identifiers in the frequency domain to enable robust camera calibration.

A lane recognition device uses local voting to identify boundary lines from extracted linear elements.

Processing module determines position offset between pupil center and optical axis, reducing hospital visit frequency while maintaining detection accuracy.

Masked token prediction leverages visual embeddings to train convolutional neural networks, reducing reliance on manually annotated datasets.

An image processing apparatus corrects gradation conversion characteristics based on X-ray sensor output to maintain optimal pixel value ranges.

A contactless temperature measurement system registers visible and thermal images to identify regions of interest and reference objects for accurate readings.

A neural network training method uses transfer learning to adapt pre-trained models to specific scenes.

A micro-motion sensing device uses radar signals to extract object velocity and range information for precise motion classification.

A mirroring device detects finger pointing in video feeds to select menu options without physical interaction.

A search assist system coordinates fixed and on-board cameras to locate subjects.

A detection system merges depth and intensity maximally stable extremal regions to identify strong features.

A substrate inspection apparatus displays components in reference and actual directions to enable clear visual comparison of mounted states.

Polygon meshes track marker positions on deformable surfaces, reducing texture stickiness and noise interference.

A machine vision image compression method corrects reconstructed frames using extracted feature differences and bit rate metrics.

Adjusts pixel color temperature using surface inclination data to resolve manual segmentation bottlenecks in varying light sources.

A deep convolutional neural network employs self-transfer learning with sequential downsampling and upsampling to classify anatomical regions.

A color replacing unit calculates a replacing color based on neighboring area data to maintain original tones in low-chroma regions.

Processor excludes spurious probe points from anatomical point clouds using virtual spheres, eliminating post-processing deformation needs.

Dividing image sequences into subsets based on similarity measurements reduces computational load by focusing feature matching only on highly correlated images.

Spatio-temporal graph inference resolves occlusion errors by combining multi-scale contextual cues with temporal consistency constraints.

Neural network patch representations classify manufactured items by comparing evaluated features against reference patterns.

A teniae coli derived coordinate system guides virtual colonoscopic navigation and registers lesions in multiple scanned data sets.

Automated detection of transient contrast agent puffs creates persistent image replay loops, reducing repeated injections and patient health risks.

Circuitry resolves aspect ratio conversion quality issues by extending backgrounds and completing incomplete foreground objects.

An image processing apparatus generates smoothed images by synthesizing intermediate frames stored at multiple reduction levels.

Segmenting images into foreground regions isolates lane lines from background noise, enabling precise classification of solid, dotted, and mixed line types.

Octave convolution neural network separates CT image frequencies to remove noise while preserving edge sharpness in low-dose scans.

An inverse characteristic filter equalizes frequency response to correct high frequency attenuation caused by long signal cables.

Segments image processing to reject non-raindrop edges, reducing computation time and memory usage for real-time windshield wiper control.

Segmented positional parameters in the regression model handle variable-level location data, reducing complexity while maintaining prediction accuracy.

A medical image analyzing system segments CT scans into patches and applies radiomics with extreme gradient boosting to classify tissue.

A vehicle obstacle detection system projects image coordinates onto real-world coordinates using detailed map data to calculate accurate distances.

A method generates temporally correlated comfort noise using supplemental video parameters to mask compression artifacts in decoded images.

Image processing system applies band importance weights to restrict output gradients.

Automated optic nerve head assessment system using spectral domain optical coherence tomography detects disc margins and extracts key parameters.

Merging radiologist annotations with MRF data trains a deep learning system to resolve incomplete labeling and improve annotation accuracy.

A parameter determining device identifies camera installation parameters by generating and comparing synthetic images against reference data.

A machine learning model trained in multiple stages generates augmented reality stylizations on real-world images.

An information processing device calculates exercise load using skeleton capture data from images.

Augmented reality guidance system tracks user position and activates image capture to locate items in retail spaces.

A platform uses AI video analysis to provide interactive step-by-step sports training feedback.

A neural network estimates motion vectors using unsupervised deep learning to correct patient movement artifacts in PET imaging.

Fluorescence imaging removes shadow and tissue pulsation interference by applying pseudo-color mapping to identify blood flow areas.

An online insurance system uses 3D modeling to enable remote claim assessment.

A learning image generation device creates variation images by varying pixel values within allowable ranges to expand training data diversity.