Image Enhancement TRIZ Cases

Iterative sample models compare simulated and measured X-ray data to correct scatter without anti-scatter grids or multi-absorption plates.

Temperature and humidity guide inspection levels and print speed, balancing print quality with inspection productivity.

This case combines pose estimation, segmentation, deformation, and LDM generation to preserve clothing details and model realism.

Deep learning classifies A-lines, B-lines, and pleural lines, reducing manual variability while providing real-time image quality feedback.

Illumination-pattern skin detection filters spoof materials before 3D depth verification, improving face unlock security and speed.

Updated images identify non-compliant teeth and deform an intermediate 3D model, reducing new scans and treatment interruptions.

A 2D display links bronchial anatomy with CT-based lesion quantities, simplifying assessment of diffuse lung disease.

Adaptive anchor poses enable 3D scene views with lower data rates and complexity.

A scanned mixed-color test chart separates developing-unit and secondary-transfer defects for targeted image recovery.

This case adjusts skin-image frequency amplitudes to reduce wrinkles and blemishes without erasing natural texture.

Extracting waveforms at specific timings creates correlation images that improve drive element location in miniaturized devices.

A test bolus and CT contrast curves automatically determine prep delay for precise synchronization of contrast-enhanced imaging.

A multi-stage encoder-decoder stacks 2D object and edge results to refine 3D boundaries for segmentation and tracking.

This case uses filtered image regions and fractional-pixel shifts to improve disparity accuracy despite luminance deviations.

Histogram-based local tone mapping adapts HDR images to SDR displays while preserving regional contrast and image detail.

Block-based statistics and reused tone mapping parameters reduce frame lag while maintaining image quality in surgical ophthalmic images.

Volumetric capture compares the printed object with its design, enabling AI parameter changes during printing to reduce waste.

Neural networks localize dental structures and set the projection area, reducing manual work and coverage errors in CBCT panoramas.

Prior-informed EIT image enhancement estimates fluid volumes despite lost absolute impedance values.

Extracerebral CSF volume supports dementia assessment less affected by imaging equipment.

This case separates peripheral and edematous stroma in ultrasound images to refine breast cancer risk estimation.

Multiple illumination patterns reveal Fourier aberrations, enabling computational correction of 3D refractive-index tomograms.

This case uses reflected speckle patterns and optical flow to detect small eye movements without multiple cameras or light sources.

Dedicated ray-tracing cores handle BVH traversal and ray-triangle tests while distributed denoising improves real-time processing.

Fixed-length clips are downscaled and scored by a non-reference AI model to predict original resolution and flag fake 4K content.

A display controller uses image histograms to correct LUT curves, improving color and contrast despite varied image characteristics.

Cumulative emphasis time sets the highlighting level, helping recognize regions of interest without disruptive image transitions.

A hybrid depth and scene-flow model uses 2D pixel and 3D point losses to reduce flickering across moving video scenes.

Geometry and video compression split point cloud data into parallel bitstreams for lower latency and manageable decoding complexity.

Deterministic image optimization detects spectacle lens rims for faster centration.

A vision-deficiency transformation model adjusts RGB values to preserve color information while improving color identification in images.

A computer-implemented alignment method uses surface normals to detect viewing-direction deviations and trigger timely equipment adjustment.

Preliminary disparity estimates narrow stereo searches, while combined maps improve accuracy across difficult-to-measure areas.

A segmented read image identifies whether defects come from the image forming or reading section, reducing preparation effort.

Complementary binary mask groups guide image restoration to locate defects at pixel level without subjective manual inspection.

A rail-mounted laser-camera tube captures anatomy quickly, enabling automated, accurate cast and splint design with improved comfort.

The image generator changes medical images using derivation basis data, showing why machine-model analysis results were produced.

This X-ray inspection case uses altered image pixels to automate validity checks and avoid manual defective samples in production.

Phase difference density from holograms tracks 3D cell aggregate state over time without staining, disruption, or laborious evaluation.

The case uses canal localization, a guide curve, and an extruded projection area to reduce manual navigation in dental CBCT.

Bounding-box sample generation supplies positive and negative images so AI detectors can assess vehicle damage with less interference.

Adaptive attention maps improve defect detection under noise and limited data.

Alternating shutter exposures compare stored image signals to improve motion sensitivity, reduce false detection, and lower power use.

This case uses image segmentation, matching rates, and feedback to guide standard echocardiographic cross-section acquisition.

The optical workflow replaces physical impressions with aligned 2D and projected 3D images for timely treatment checks.

Monocular depth maps and occupancy correction improve storage-space estimates for automated stow processes despite translucent bands.

AI-generated boundary suggestions enable non-regular object cropping during camera preview.

Complex indoor reflections are rendered with double-layer meshes for more realistic virtual roaming.

This case uses red blood cell surfaces to concentrate amyloid aggregates for AFM imaging of monomers, oligomers, and fibrils.

Context-aware imaging highlights critical surgical elements and reduces distractions.