Image Enhancement TRIZ Cases

A charged particle beam image processing device extracts line pattern edges and divides inspection regions into sections to measure roughness distribution data.

Indexing 2D descriptors with camera pose information enables accurate object identification across varying observation directions without external positioning.

A 3D image data area extracting system uses threshold values to designate starting points for connected area deletion.

A computer-implemented method adapts a blood vessel model to determine geometric features using continuous centerline fitting.

Algorithm uses position data and structural brain information to track nerve fibers, resolving insufficient detection precision in current diagnostic methods.

Multi-camera systems calculate spatial angles to identify the intended electronic device, resolving accuracy issues in multi-device environments.

Multi-shape models resolve localization accuracy issues for rotated text while managing computational complexity through selective parameter changes.

Computing device registers intraoperative images to preoperative frames, resolving tracking resolution limits.

Aligns breast images using shape analysis and Robust Point Matching to segment regions and determine skin boundaries for precise structural placement.

A system selects relevant video frames using human pose context to reduce computational load.

A traffic analyzer detects cellular terminal activity across multiple communication standards to estimate population density in a geographical area.

Eliminating the yellow component from green Bayer data isolates pure green signals, resolving spectral resolution loss while maintaining normal color accuracy.

An analyzer determines bone mineral density by correlating phantom histogram peaks with known data.

Segmenting stereo and monocular ranges reduces quadratic error growth and computational complexity for accurate non-flat road profiling.

Information processing device segments captured images to apply distinct detection methods per region.

A camera system generates lookup tables using infrared illuminators and image sensors to estimate spatial depth.

Hamiltonian coding schemes boost depth precision in low SNR conditions by optimizing signal intensity curves.

A task assistance system uses location detection and region setting to identify hand placement on a sensing plane.

Interchangeable modules enable quantitative assessment of imaging performance and dosimetry, resolving inconsistency in conventional phantom measurements.

A shape index weighted voting method calculates global image responses using local descriptors and spread functions to enhance detection specificity.

Transforms website markup into compressed images to detect zero-day attacks without labeled training data.

A fisheye collage transformation method processes regions of interest to generate undistorted composite images.

Correlating 2D object information with perspective vehicle image data using location matching to generate segmented datasets.

A camera-based device estimates occupant tiptoe and fingertip positions using skeleton point data from a single interior image.

A lightfield database retrieval system matches sample data against 2D images derived from 4D lightfield data using specific geometrical parameters.

A face identification apparatus adjusts infrared light luminance based on detected distance to capture clear images for recognition.

A drone captures images of structures at different time points to detect physical changes via machine learning analysis.

Mesh vector indexing reduces calculation complexity by segmenting depth images into unique polygon vectors, improving processing efficiency.

An image analysis apparatus extracts specific regions to calculate brightness decrease degrees for precise tissue monitoring.

Automatic 3D image processing matches patient bone geometry to reference models, reducing fluoroscopy radiation exposure during surgical planning.

A graphics processor generates higher resolution render outputs and downsamples them to lower resolution data structures for efficient storage.

Control circuit processes high-energy images to identify candidate obfuscators and reveal hidden objects.

Imaging apparatus registers pre-operative and post-operative images to identify smallest margin regions between resected tissue.

A method modifies local X-ray attenuation values in CT data sets to generate virtual projections with realistic gray-value distributions.

A monocular thermal camera system estimates 3D motion using hierarchical homography fitting and inertial sensor data.

A cross section observation device generates and displays multiple three-dimensional images stacked from sectional data acquired under different conditions.

An individual identifying device coordinates pattern generation and image acquisition to ensure accurate capture of stabilized patterns.

A collateral classifier segments four-dimensional vascular data to determine blood flow parameters in patient vessels.

On-device object tracking identifies targets automatically, eliminating cumbersome tap interactions that interrupt search workflows in crowded scenes.

A vehicle accessibility determination device detects three-dimensional objects and calculates road surface projecting positions to identify accessible spaces.

A guided filter generates detail-enhanced video signals while preventing overshoot and ringing artifacts on edges through adaptive noise reduction.

A tracking camera system switches between initial and normal control modes to stabilize object positioning.

Processing circuitry filters radiation images by calculating pixel similarity to remove point-like noise.

A beam hardening correction method calculates precise coefficients using simulation and measured absorption data.

A 3D camera mounted on an industrial truck captures image data at a defined angle to compute spatial orientation and detect objects in warehouse environments.

Histogram equalization and gray histogram analysis calculate abnormal pixel scores to automatically detect hidden anomalies in wafer backside images.

A model training system generates corrected images from model outputs to serve as teacher data for retraining.

An electronically tunable spatial light modulator segments spectral measurements to prevent photobleaching while maintaining spectrographic accuracy.

Segmenting magnetic resonance images into regions of interest and background areas reduces computational load by processing only necessary data.

A medical image processing system classifies lesion regions by interest level and applies distinct display methods to each category.

A multi-camera image stitching method reuses projection transformation parameters from previous frames when camera positions remain stable.

Segmenting video files into independent segments enables targeted image optimization parameters for each part.

A spatially coherent nearest neighbor field algorithm determines initial matching patches between images and enforces coherency using neighboring motion data.

Segmented CT images identify anatomies outside the scanner field-of-view, enabling accurate out-of-field scatter compensation without additional scans.

An enlargement processing unit detects step pixels and inverts pixel values to smooth edges, preventing roughness deterioration during binary image scaling.

An image processing apparatus extracts and amplifies specific frequency components to improve perceived resolution.

A frequency component extraction and replacement mechanism restores youthful skin appearance in captured photographs.

Segmented prismatic elements within the optical path reduce longitudinal chromatic aberration across broad spectra.

A stereo camera processing device corrects parallax measurements to accurately detect road steps.

Segmenting position estimation from image capture reduces rolling shutter distortion while maintaining tracking accuracy and power efficiency.

Polygon kernels use transfer functions to process images, reducing computational complexity by making operations independent of kernel scale.

Segmented fast scintillator plates paired with ASIC microelectronics resolve spatial resolution and manufacturing cost trade-offs.

Intra-operative optical scans register virtual patient models against actual anatomical changes, maintaining surgical precision despite tissue retraction.

A verification apparatus acquires candidate correct answer images and detects defective candidates to ensure accurate print quality evaluation.

A method generates distorted images by calculating new pixel coordinates and values based on distortion coefficients.

Automated system segments surgical videos to identify key intraoperative events and their properties.

A segmented object detection system processes images through low and high-resolution stages to identify targets.

A portrait image processing device adjusts visual parameters using detected blood volume pulse signals and blood flow distribution data.

Short exposure accumulations on phase difference pixels enable rapid focus prediction, reducing AF time lag during continuous shooting.

A ball machine uses an imaging system and neural networks to detect players and generate unique identifiers for customized launches.

Depth-aware privacy zones mask distant objects while preserving visibility of nearby subjects, preventing unintentional obscuring of critical surveillance data.

Digital light projection sprays organic vapor to form precise film layers, eliminating mask deviations and reducing material waste during deposition.

Parallel neural networks detect and characterize medical objects in real-time video, reducing false positives during procedures.

Multimodal 3D imaging enables calibration-free head and eye tracking in a handheld device, resolving field deployment constraints.

Segmenting traffic scenarios into local areas reduces exponential calculation loads while maintaining prediction accuracy through coordinate system corrections.

Automated image analysis counts flowering objects to generate precise orchard maps, replacing manual thinning with targeted chemical application.

A multi-beam electron inspection apparatus corrects reference images based on detected beam positions to align pattern data.

An adaptive reference image selection process evaluates image frame pairs to determine the optimal source for fusion operations.

A 3D image processing apparatus displays statistical values of registration errors across designated cross sections.

A circulation controller returns paper sheets to a reader for re-reading when pixel mismatches occur between read and output image data.

Electronic device applies category-based adjustment filters to image objects, enabling dynamic user control over specific object modifications.

A method and device for inpainting images that determine an inpainting region, obtain original texture information, and use backup pixel blocks to inpaint pixels.

A computer sets points on a 3D organ model to match relative positions in tomographic images.

A distributed localization system combines sensor data from multiple devices to determine relative positions and poses accurately.

A vehicle recognition device derives pedestrian likelihood by summing positional and appearance points from image data.

A spatial light modulator analysis method calculates imaging quality using transmittance distribution functions derived from pixel unit aperture ratios.

Automated image recognition identifies construction machine attachments to optimize equipment settings and reduce failure rates from manual adjustments.

Uses weighted sums of global and local tone mapping to compress dynamic range while preserving image details in bright and dark areas.

A camera system recognizes front license plates to determine vehicle position using image outline matching and size analysis.

A vehicular vision system merges object attributes across frames to enhance detection accuracy.

Hand sensing module detects user gestures to generate virtual object adjustment parameters for intuitive 3D interaction.

Noise variance models weight least squares fitting to resolve measurement precision versus shot noise contradictions in polarization imaging.

A dual AOI inspection system uses two machines with different resolutions to verify defects automatically.

Vehicles equipped with cameras and light sensors identify inoperable infrastructure lamps and send alerts via vehicle-to-infrastructure communication.

A computer system computes a volume of interest from camera observations to constrain photogrammetric 3D reconstruction.

Automated image analysis replaces manual operator assessment, eliminating time consumption while maintaining diagnostic accuracy.

An AI device modifies normal product images to generate synthetic defective samples for training vision inspection models.

A computer-implemented method generates augmented spine images by instantiating a three-dimensional vertebrae atlas from ultrasonic volumetric datasets.

Reference marks on flow chamber surfaces calibrate angular spectrum propagation algorithms to focus digital holography images of fluid samples.

Segmenting metallic bodies before reconstruction guides iterative processing to suppress streaks while preserving diagnostic anatomical detail.