Image Enhancement TRIZ Cases

A mobile device constructs a 3D body model using 2D images and accelerometer data.

Virtual cues guide users to align camera poses with world coordinates, preventing video distortions from pose shifts.

Voxelizes 3D point clouds into planar segments to extract geometric features for posture and dimension measurements.

Automated parameter setting reduces manual adjustment time and improves measurement precision for lumbar disc scans.

A smart motion detection device combines an infrared sensor with an image sensor to capture monitoring images upon thermal alarm.

A fisheye camera parameter estimation device generates multiple projection images using different schemes for user selection.

An image processing unit determines pixel variability to adjust noise suppression parameters in real time.

A prediction model generates hepatobiliary phase MRI images from initial arterial and portal venous data.

A vehicle image analysis apparatus controls focus-of-expansion position learning using camera data and speed thresholds.

An object pose recognition apparatus shifts stored 3D point cloud data based on calculated feature points to restore image data.

A projector calculates an imaginary screen outer peripheral line to supplement undetected sides and correct the projected image.

A map processing method segments road lines using image masks and user trajectories to extract accurate target road lines.

A vehicle vision system calculates object height values from camera images to correct projected coordinates.

A ratio signature approach identifies objects with few features by analyzing geometric proportions and color consistency.

Segmenting blood vessels using local quality and segmentation principles for accurate extraction of perforator characteristics.

Processing circuitry measures focal spot size and estimates magnification to generate a deconvolution kernel for X-ray image correction.

Continuous harmonious color density overcomes binary image limitations to enhance measurement resolution and stability.

Multi-intensity capture and synthesis resolve pixel saturation to improve depth measurement accuracy across varying distances.

Image exposure transformation network synthesizes realistic long-exposure images from single short-exposure frames using adversarial learning.

Handheld devices establish shared coordinates with AR eyewear to enable independent third-person exploration without complex multiplayer setup.

An information processing apparatus guides imaging of related objects through displayed instruction information.

A spring element connects a rigid probe body to a handheld holding part, enabling optical detection of relative movement between the components.

A street light system uses image processing to detect persons and vehicles, dynamically adjusting illumination states for safer passage.

Computational authentication of printed products using overlay image analysis.

An image measurement device identifies probe contact target positions using a model image and stored arrangement rules.

Video sensors capture footage while a processing unit analyzes events to detect third-party suppliers and validate merchandise against planned records.

A detection device corrects lateral width measurements using deviation amounts from end positions.

A system merges image data with tactile sensor measurements to generate enriched medical images displaying mechanical properties.

Tracking sub-micron bacterial motion resolves slow culture delays, enabling rapid antibiotic susceptibility testing within two hours.

Optical calibration detects stereo ranging alignment using projected light reflections, eliminating heavy mechanical mounts to reduce weight and drag.

Reflectance estimation enhances low-brightness surgical cavity visibility without causing oversaturation or noise amplification in well-lit areas.

A single converter denoises sensor data using machine learning to stabilize output across multiple noise types.

Depth sensing cameras create three-dimensional models of vehicle damage to eliminate subjective adjuster measurements and ensure consistent pricing.

Extracting SUV values from unfiltered pre-image data enables accurate lesion quantification without complex partial volume correction.

A color matching system processes digital photographs to determine precise color percentages between objects.

An automated system analyzes radiodensity variations in computed tomography images to identify acute aortic syndromes.

A charging support device generates an overhead image to display vehicle surroundings and power transmission unit position.

Classification-based weighting compresses multi-perspective image data to reduce storage requirements while maintaining high-resolution object detection.

Signal processing device embeds measurement data into video frames, resolving temporal synchronization bottlenecks in high-frequency surgeries.

A medical information processing apparatus acquires and correlates procedure data with time stamps to integrate diverse clinical inputs.

Radon domain transformation and multiscale bilateral filtering resolve noise robustness trade-offs, enabling accurate PET attenuation correction.

Preliminary action generates differential images from pre-captured data to confirm contrast agent movement, eliminating re-imaging and reducing exposure dose.

Triangulating 2D camera projections with scanner variables determines 3D keypoints, overcoming depth sensing limits in obstructed medical scenarios.

Dilating undefined color channels in zero-alpha pixels prevents distortion artifacts during separate overlay and background image scaling.

A single-image angle detection device projects vehicle surface points onto a plane to calculate relative orientation.

An image processing apparatus calculates geometric conditions based on distance information to guide accurate surface state evaluation.

A lightweight machine learning model detects visual pollution elements using knowledge distillation and expert model integration.

Patterned metal landings on a flexible substrate define pixel locations, enabling blanket-printed LEDs to resolve registration precision challenges.

Optical filters segment white light by isosbestic points to capture tissue imaging data for biological substance concentration ratios.

A neural network generates volume segments from optical coherence tomography data to identify choroidal neovascularization types.