Image Enhancement TRIZ Cases

Machine learning predicts internal organ surfaces from body data to control scanner positioning, reducing radiation exposure and manual time.

Camera systems measure anatomical features to assess collective abilities, reducing device complexity while improving measurement precision.

A vehicle forward-looking sensor adjusts its turning angle to maintain an observation range on curved roads.

Dividing image data into sub-blocks and processing selected subsets reduces computational complexity while maintaining localization accuracy.

An edge-detection-based adaptive filter identifies non-edge pixels to select appropriate filtering techniques.

A mixed distribution model derives background pixel values from local regions to detect moving objects in video streams.

Directional-invariant filtering on image blocks estimates motion vectors, reducing hardware complexity and cost.

A joint auto-exposure tone-mapping system compresses high dynamic range images into low dynamic range outputs using virtual gain calculations.

Distinct pixel shift amounts across multiple optical systems reduce parallax impact and computational complexity for moving subjects.

Neural networks apply Fourier transforms to upsample feature maps, resolving texture blur and computational bottlenecks in real-time synthesis.

An image processor projects captured vehicle vicinity data onto a virtual plane and corrects deformation using variable angles.

A portable image processing apparatus extracts photographic print areas from album photographs using edge detection and oblique correction.

Contextual analysis of graphical elements determines chart types and generates editable data structures, reducing manual interpretation errors.

A wireless patient communication device uses a radio-frequency transmitter to enable contactless signal transmission within the magnetic resonance scanner.

Correlating dual-mode electron images against reference patterns resolves dispersion in nanostructure size and contrast, ensuring reliable defect detection.

Dynamic neighborhood sizing handles diverse object shapes while controlling computational complexity.

A hazard estimation unit calculates event likelihood from time-series data using a parameter optimization approach.

Color propagation estimates boundary pixels to eliminate halos without requiring solid-colored studio backgrounds.

Automated frame selection synchronizes disjointed 2D video streams using cardiac cycle timing data for accurate 3D model construction.

A camera processing method segments pre-shot images into combined regions to determine distinct exposure settings for each area.

Defines restraint regions via mountain outlines to reduce false alarms and improve positioning speed.

Segmenting salient instances via key points improves object recognition accuracy while reducing computational cost.

Multi-scale neural networks decompose input images into frequency components to refine depth information, resolving sensor cost and noise issues.

A video signal generating apparatus inserts human-readable text data into the video stream to enable downstream control operations.

A facial skin tone high-frequency luma superposition method enhances stereoscopic display effects.

Deep neural network identifies candidate lesions to reduce specialist interpretation time while maintaining diagnostic accuracy.

Generative adversarial networks replace undesirable facial features with realistic alternatives, eliminating tedious manual editing time and skill requirements.

A detection system extracts wavelet-like features from medical images to identify lymph node candidates using region-specific predefined parameters.

Automated casino table system identifies betting and card regions using homography transformations for precise video analysis.

A single molecule identification method processes intensity time sequences into line charts for rapid detection.

A charged particle microscope generates mixed images by automatically adjusting weighting factors across multiple detectors to synthesize secondary and reflected electron data.

Automated image processing identifies missing surgical instruments on trays, resolving manual counting errors that cause safety risks during procedures.

A POS terminal adjusts white balance by comparing captured reference colors against standard images to correct color deviation.

Concurrent bright and dark field illumination resolves directional fiber reflectivity to enable automated dimensional measurement of composite structures.

Light source and detector capture interaction patterns to determine edge profiles on glass targets.

A system maps visual food features to continuous quality parameters for accurate shelf life estimation.

A black and white stretch method extends video dynamic range using adaptive histogram mapping.

A drive recorder detects moving objects in captured images and selects specific cameras for temporary recording.

A photo-optic apparatus captures surrounding images and compares them against stored reference data to determine current location.

A data converter generates test data from label layout information for automatic detection and processing unit configuration.

Segmented 3D analysis of near-infrared vein images detects spoofing while reducing computational complexity.

A GAN generator uses patch-based training to transform high-resolution face images while preserving subject identity.

An image correction device switches between predictive modeling and bicubic interpolation for pattern images.

A predictive model determines shape parameters from low-resolution medical images to generate high-resolution segmentations.

A photo-sensor detects display faults by monitoring animation interruptions, preventing frozen screens in aircraft.

System performs preliminary scene detection to initialize companion processing unit, reducing initialization latency and power consumption.

Converting parameterized vectors into non-parameterized forms reduces computational complexity while maintaining measurement precision.

A Sem2Ins model generates instance boundaries from semantic label maps using conditional GANs.

A presentation unit displays skin measurement results as a chart image with petal-shaped areas containing score images that expand based on values.

A method acquires road lines from vector data and expands them into surfaces to generate high-definition intersection models.