Image Enhancement TRIZ Cases

A multi-camera inspection system detects foreign object debris on composite surfaces using visible, ultraviolet, and infrared light sources.

A stereo imaging system uses patterned infrared light sources to illuminate scenes while capturing visible and infrared data for three-dimensional reconstruction.

A gray level ratio inspection method subtracts a reference dark level value from electron image pixels to calculate accurate defect ratios.

Automated optical coordinate measuring system replaces manual methods to resolve accuracy and throughput trade-offs in semiconductor mask production.

A teaching process defines reference inspection lines and regions on captured images to generate inspection points with consistent positional relationships.

Variable masks superimpose image layers to resolve information loss in static displays while reducing processing complexity.

A volumetric video processing system stabilizes meshes and generates skeletal structures to enable precise editing of immersive content.

Segmenting RGB and depth images into layered masks resolves occlusion artifacts during viewpoint shifts while maintaining low computational complexity.

A tone correction map generator acquires ghost information from overlapping image regions to align exposure values and lens shading across a panorama.

A component mounter calculates lead and tool positions to verify alignment before insertion.

Telematics module processes camera images to trigger wiper operation, removing snow accumulation that blocks the black box camera view.

A photoplethysmographic analysis system extracts oxygen saturation changes from standard RGB video using normalized color channel amplitude ratios.

A vehicle detection system generates candidate groups by estimating missing side or bottom surfaces from binary images.

Targeted synthetic image deformation trains machine learning models to handle manufacturing variations, eliminating manual engineer intervention.

Extracting reflection components from RGB images using ToF infrared data resolves the trade-off between brightness and light saturation in low-light imaging.

A graphical user interface displays simulated object surfaces by converting particles into ellipsoids and splatted rasterized layers.

A region-based processing architecture partitions high dynamic range images to apply differential encoding based on luminance levels.

A display apparatus adjusts calibration image luminance based on measured distance to ensure accurate position detection.

Extracting line segments and fitting them to intersecting vertical planes compensates for rolling shutter distortion during automotive image capture.

Optical imaging generates unique bubble signatures to prevent multiple counting of trapped air, ensuring accurate volume measurement.

CollaGAN uses multi-cycle consistency loss to reconstruct missing image data, addressing bias in high-dimensional manifold structures.

A voxel-based segmentation apparatus assigns weighted links to separate target regions from background areas in 3D medical images.

A method directs X-ray testing only at regions of interest identified by automatic optical inspection.

A camera system generates heat maps from GPS coordinates to plan tracking targets across divided regions.

A vehicle combines multiple sensor estimates into a consolidated lane boundary estimate using weighted accuracy values.

Automated abdominal CT image measuring apparatus extracts characteristic data using phase registration and subtraction.

Image processing device generates 3D display screens from camera and sensor data to visualize work positions.

VR headsets merge participant camera feeds into virtual scenes, resolving the contradiction between visual immersion and social visibility.

Segmenting image frames by brightness allows applying region-specific camera parameters, reducing patch and ghosting artifacts during multi-camera merging.

Heat map generation computing device processes trap, weather, and image data to display dynamic time lapse visualizations.

A dynamically sized buffer and sparse matrix table enable real-time pixel coordinate mapping in image processors.

A recognition unit sets individual time limits to trigger automatic anonymization processing on captured images.

A medical image processing system calculates biological information reliability to set appropriate reference values for oxygen saturation measurements.

Height data determines vertical shift factors for individual portraits, resolving coordination difficulties in traditional group photography.

Thermal imaging device detects abnormal livestock temperatures to prevent disease spread through automated environmental control.

A photogrammetry method determines three-dimensional points from multiple two-dimensional images using camera parameters.

A video preprocessing filter calculates pixel activity values to distinguish noise from actual image content.

A determination unit detects foreground-surrounded holes in disparity maps and directs a search unit to find relative backgrounds along multiple directions.

Aligns point cloud data via image characteristics to resolve fusion failures in unstructured scenes with poor navigation signals.

Air blowers float and fix wafers to enable simultaneous upper, lower, and side surface contamination detection without physical contact.

Neural networks analyze captured environment data to anchor virtual items, resolving fit assessment accuracy challenges in online shopping.

Motion-compensated spatiotemporal sampling reduces sample counts while preserving spatial quality and temporal consistency.

A superresolution neural network generates high-resolution images by integrating focusing information and depth maps into a unified processing pipeline.

A print data processing method detects white streaks using pattern matching against a one-pixel width template.

An in-vehicle camera captures sequential driving images to extract license plate pixel areas and inclinations for speed calculation.

An image enhancer infiltrates material faults to boost X-ray contrast for defect identification.

Determines distortion parameters by analyzing multiple calibration target images to correct field of view errors and achieve sub-micron measurement accuracy.

A light field camera captures plenoptic images to determine user gaze direction in head-mounted displays.

Selective sensor readout defines operational volumes to synthesize high-resolution viewpoints, resolving coverage and frame rate trade-offs.

A similarity calculation unit identifies additional objects within sensor range to reduce relocalization errors in moving apparatuses.