Image Enhancement TRIZ Cases

A system extracts image features and assigns weights to determine scores for test images.

A learning model estimates medical image diagnosis results and outputs candidate treatment methods alongside evaluation values.

An image processing apparatus applies Maximum a Posteriori estimation to pixel positions in optical coherence tomography signals.

A color calibration slate with a reference chart resolves reliability issues by ensuring accurate visual representation in medical documentation.

Patsnap Eureka TRIZ case shows how preliminary completion and merging resolve low overlap contradictions in 3D model acquisition.

Dual illumination lights create distinct shadow patterns in comparison images, differentiating cracks from undulations to reduce false positives.

A scanning microelectromechanical systems mirror raster scans short-wave infrared light while projecting structured patterns for simultaneous image capture.

A computer-implemented method forms a cone from tangent lines to elliptical error probabilities to estimate future location boundaries of moving objects.

A fluorescence image analyzer processes bright point patterns to display positive patterns and cell counts.

Fuses fragmented motion tracks using signal intelligence time of arrival data to reconstruct continuous paths.

A POME system uses cameras and distance measuring to calculate target locations efficiently.

A computer vision system analyzes digital imagery to detect user fatigue levels without requiring wearable devices.

Controller prevents movement-induced blurring from degrading shape and distance accuracy by verifying image clarity via preliminary multi-frame capture.

Multi-phase CT analysis detects aneurysms and AVMs, resolving the trade-off between diagnostic accuracy and scan time.

A blend factor calculation circuit generates dynamic blending ratios between narrow and wide filters based on adjacent pixel chromatic differences.

Multi-camera networks generate 3D event data to resolve high bandwidth demands while preserving visual quality.

Modular pads adapt to diverse fall characteristics via embedded sensors, while drones relay live footage for optimized zone monitoring.

A medical imaging system stores one corrected image via variable threshold extraction, reducing storage capacity while maintaining fast segmentation retrieval.

Automated analysis detects frame-over-frame pixel changes to identify animated problem indicators on computing device displays.

Information processing apparatus extracts and classifies image features to estimate camera and object positions.

A neural harmonic decoder generates adjustment parameters from local and global feature representations to produce retouch results.

A deep multi-scale network denoises image patches using learned thresholds to handle varying noise levels efficiently.

An offset model compensates for non-concentric pupil movement by updating limbus-pupil displacement as a function of pupil size.

A single Gaussian skin likelihood estimation method partitions computational tasks between CPU and GPU to improve skin map smoothness.

A pixel classifier trained on artificially blurred tiles segments digital tissue images into distinct regions.

Digital implant models align with intraoperative images to estimate leg length and offset differentials, eliminating repetitive physical trialing.

Multi-sensor fusion model adapts Bird's Eye View features via domain descriptor heads, countering covariate shift between training and test distributions.

Ultrasound processing circuitry develops a right ventricle polar-map onto a plane to visualize local function index values.

Automated optical inspection replaces manual checks to reduce aircraft downtime while detecting small carbon particulates on curved surfaces.

Image processing apparatus estimates three-dimensional breast shape from contact regions to align photoacoustic and MRI data.

A defect inspection system estimates multiple non-defective product images to extract defective parts from sample observation data.

A goblet imagery mapping model generates shapes from user adjectives using dimension reduction and genetic algorithms.

A plane detection system uses semantic segmentation to classify scene pixels and generate point cloud hypotheses for accurate surface mapping.

An image processing apparatus extracts reflection characteristics to enhance specular reflections and reproduce realistic material feel in videos.

A map construction method adjusts point cloud density to homogenize heterogeneous sensor data.

An object inspection system registers master and inspection images using positional data from a movement machine.

Local tone curve computation adjusts luminance values per image block to optimize dynamic range rendering.

Adaptable sorter unit integrates with existing processing lines via standardized mounting brackets and data ports.

Drive assist display apparatus segments wide-angle camera views into directional regions for targeted image correction.

Capturing control apparatus derives correction parameters from standard dynamic range frames to align images before high-dynamic-range composition.

Segmenting image sensors into distinct readout regions reduces computational burden while maintaining visual detail for wide field of view applications.

Piecewise luminance mapping in non-linear space resolves HDR to SDR conversion issues by preserving low-luminance details and improving contrast ratios.

Image vectorization module converts raster data to vector elements using hierarchical segmentation and localized user controls.

A reference image generation unit creates a head template to adjust tracking images for accurate feet position estimation.

A clothing information system captures images via a network and detects apparel on subjects for display on user terminals.

A verification system locks critical print parameters to ensure consistent image registration and comparison conditions.

Distance transform algorithms segment the ribcage interior to reduce processing time while maintaining detection accuracy for small mammals.

Computes inter-marker heterogeneity scores using graph theoretic cell cluster mapping.

Segmenting volumes into independent tiles enables concurrent processing, lowering bandwidth usage while maintaining reconstruction accuracy.

A 3D vision system captures livestock images to detect tail and teat positions for robotic milking.

Automated image analysis replaces manual inspection by applying segmentation and machine learning to grade surface, edge, corner, and centering conditions.

A detection unit identifies objects while a main object determination unit re-selects the primary target based on continuous evaluation.

Segmenting sensing elements resolves the trade-off between measurement precision and processing time in automatic optical inspection.

Modifying displayed content with blur and brightness adjustments induces natural blinking, reducing eye strain while maintaining user concentration.

Computing a linear exposure shift between different exposures corrects flare obscurations and preserves dark region details without special hardware.

An image processing apparatus iterates feature point selection to detect moving objects and adjust tracking targets.

Statistical inference on depth sensor data generates predictive motion models that reduce feedback latency while maintaining high measurement precision.

Block-based camera updates transmit modified scan lines instead of full frames, lowering latency and power consumption in VR applications.

A string region processing unit extracts shoulder straps from images to locate carried items without templates.

A method classifies tooth types using aggregated 3D mesh features extracted from segmented dental models.

A cell analysis system calculates optical flow from spatial intensity patterns to determine shape and mechanical properties.

An image processing unit determines periodicity and boundary conditions to switch interpolation algorithms, resolving precision trade-offs in halftone regions.

Intelligent General Organ Recombination segments anatomical objects to generate synthetic multi-modality displays.

A shape data generation method uses probability maps to extract three-dimensional voxel data from tomographic images.

A depth edge preserving filter calculates local variance to adjust filtering strength and maintain consistent weights across storage units.

A microscopy system uses a thermal model to predict and compensate for sample drift during imaging operations.

A system generates vehicle driver signatures by analyzing interior image data to identify posture and gestures.

Image-guided model inversion reduces feature distance between initial and target images using a discriminator to resolve accuracy and flexibility trade-offs.

Automated deep learning segmentation replaces manual marking of membranous glottal gaps in larynx images, reducing calculation time and subjectivity.

Six-dimensional couch compensation corrects rotational offsets between planning and treatment stages, improving registration accuracy.

Event-based sensors detect light intensity changes to output asynchronous signals, reducing response time delays caused by camera refresh rate constraints.

Camera detects laser beam and converts relative direction vector into global coordinate vector intersecting ground representation to locate source.

Cloud-based satellite information analysis system generates standard images from raw data streams.

An image processing system detects pleural lines and scores irregularities to generate annotated medical images for real-time clinical review.

A probabilistic image denoiser decomposes color images into piecewise smooth regions to estimate local statistics and apply targeted blur.

A corner detection method divides dynamic vision sensor event frames into areas to identify suitable points for optical flow calculation.

A processing system selects video encoders based on deployment characteristics to optimize compression efficiency.

Spatial frequency analysis of segmented image cells differentiates gross subject movement from illumination artefacts.

A virtual averaging method enhances optical coherence tomography images by selecting and averaging local voxel values within defined regions.

Neural network analyzes video frames to detect blur and compression artifacts in real time.

A method selects aligned sequential images to average pixel values, producing a combined image with improved signal-to-noise ratio.

Merging neural network counting with optical flow analysis resolves the trade-off between measurement precision and information loss in crowded spaces.

A color-balanced image processing method isolates lit areas via mask images to extract specific attributes for trained classifier analysis.

A video processing device uses a lookup table to replace neural network arithmetic for rapid pixel classification.

Moving the excitation light source with the object support section prevents illuminance fluctuations, eliminating multiple shading correction tables.

An image processing device detects product display status changes and identifies items returned to incorrect shelf locations.

Dynamic parameter adaptation based on edge and texture information resolves false colors caused by decreased RGB sampling rates in RGBW imaging systems.

A medical imaging system aligns planning images with real-time fluoroscopic views to provide precise positioning information.

An indication apparatus projects light beams to form patterns on surfaces, guiding operator movement during scanning procedures.

CT scanner extracts auditory canal measurements to determine hearing aid eligibility, eliminating painful physical impressions and reducing infection risk.

A line-finding algorithm maps retinal layers in OCT images by processing A-scan element sequences.

A display system analyzes facial images to detect hand-to-face gestures and generate visual feedback for users.

Automated systems select highlight criteria based on image sensor conveyance positions to identify key video moments, reducing manual review time.

Optical face comparison extracts feature points from document and live images to verify identity, eliminating reliance on chip-enabled cards.

A method recovers lost or corrupted image parameters using bitstream signals to ensure accurate data reconstruction.

Edge detection algorithms enhance structural details in digital tomosynthesis composite slabs.

Spatial tone reproduction curves adjust pixel values for rendering device non-uniformities.

Image sensors detect skin luminance variations around the eye and nose to determine cardiac and respiratory rates without specialized contact sensors.

A computing device generates position boxes for pedestrians in images to enable accurate people-flow analysis.