Image Enhancement TRIZ Cases

A stereo camera system captures three-dimensional image data to identify soil clods and their surrounding shadows for parameter determination.

A vision-based system detects and tracks multiple targets by compensating for platform motion in video data.

A head mounted display method applies dynamic blurring to virtual space image end regions based on rotational speed and direction.

A registration system matches extracted 3D image models with estimated volumetric models to align medical coordinate spaces.

Onboard device detects speed limits using image recognition algorithms to issue warnings when vehicle speed exceeds thresholds, preventing derailment risks.

Autonomous UAV captures site images using calculated shadows to eliminate visual obstructions during structural assessment.

A space analytics system determines vehicle location by comparing real-time image embeddings against a pre-calibrated map.

A single-pupil imaging system combines visible and SWIR detectors to classify threats by duration, temperature, and intensity.

Image processing transforms TFT sensor outputs into formats compatible with standard CCD and CMOS fingerprint recognition algorithms.

Deep learning network detects mal-sampling artefacts in spiral MRI, correcting B0 inhomogeneity blurring for high-quality non-Cartesian imaging.

Dual-channel imaging detects fluorescent fiducials through tissue to dynamically register preoperative scans with live surgical views despite deformations.

A data processing method registers atlas datasets with patient-specific nerve indicating data to define constraining volumes for neural fiber tracking.

Image processing apparatus groups discolored skin regions to generate single makeup sheet data.

A mobile terminal system analyzes user clothing RGB values to automatically select and replace the device theme with a visually harmonious alternative.

A degradation conversion unit generates multiple degraded images from a reference image to enable parameter selection.

Widefield polarized illumination and camera-mounted analyzer capture multiple polarization states to estimate backscatter components for image reconstruction.

Separate signal and noise components in X-ray images to maintain consistent visual quality across varying zoom levels.

Fuses captured 3D and 2D street view data to update maps in real time, eliminating manual update delays.

A mobile object control device converts camera images into bird's eye view coordinates to detect three-dimensional objects and travelable spaces.

FFT local transformation on HRTEM pixel data calculates grain orientation and crystallization rate.

A point cloud alignment apparatus sets multiple search start positions to generate solution candidates for coordinate transformation.

A tracking apparatus calculates the motion region ratio within a defined area to determine object continuity.

An object detection device processes target and partial image data at a request size to detect objects.

A four-dimensional tesseract image processing system applies mathematical transforms to radar data for precise object location and velocity identification.

Image input unit captures tire visuals for determination unit analysis of wheel region area ratios to identify double tires.

An AI platform maps femoral artery anatomy and bifurcation points using dynamic flow imaging.

Machine learning models analyze images and biomarker data to determine compatible substances, resolving assessment accuracy challenges.

A traffic monitoring system uses radar and video sensors to detect vehicle movements at intersections.

Position estimation apparatus calculates tracker orientation within a shared reference frame using feature point data.

Terminal analyzes bright and dark areas to verify AR marker position, preventing incorrect display when markers are duplicates or positioned improperly.

Graph attention networks encode spatial-temporal correlations to resolve tracking errors in complex robotic-assisted surgery scenarios.

Iterative pixel classification segments document images into distinct content types, resolving the trade-off between segmentation accuracy and processing time.

Automated system aligns multi-planar reformatting views across multiple 3D medical image volumes.

Two-stage generative models resolve visual coherence issues when resizing or repositioning objects in images.

A computer arrangement maps range sensor point clouds to image data using object masks for precise detection.

Sequential multi-position imaging with a periodic member resolves the contradiction between wide coverage area and compact apparatus size.

Erosion and dilation operations isolate noise-induced leakage regions from segmented volumes, restoring boundary detail while removing erroneous inclusions.

Flattening 3D meshes to 2D planes resolves initialization sensitivity and occlusion losses during point registration.

Autonomous drone calculates position using onboard camera image data and object distances to resolve localization complexity without extra sensors.

Dual edge filters separate fast and slow transitions to reduce noise sensitivity while distinguishing artistic blurriness from processing degradation.

An image processing apparatus extracts lung field regions from three-dimensional medical images to identify anatomical landmarks.

A multi-modal framework extracts target speech by fusing audio spectrograms with video mouth features.

A depth model uses rigid-motion embeddings to identify dynamic objects in monocular images.

Automated rock mass structure detection system using three-dimensional laser scanning to acquire point cloud data for block modeling.

An image processing apparatus acquires and displays endoscopic images in time-series order for recognition.

A depth-imaging camera captures brightness and coordinate depth images from multiple vantage points to determine angle-dependent reflectance.

Deep neural networks segment 3D digital jaw models via vertex contraction and fuzzy clustering, resolving low accuracy for non-standard cases.