Image Enhancement TRIZ Cases

An out-of-focus circular grid target allows intrinsic parameter determination without extensive spatial requirements, reducing calibration time and expense.

A processor adjusts a virtual coordinate system on a display using inertial, distance, and angle data from sensors.

A color model using truncated Gaussian functions generates location-weighted masks for image editing.

Merging spectral, spatial, and temporal filtering reduces processing resource consumption while maintaining high threat identification accuracy.

Dynamic image synthesis excludes overlapping regions during turns to eliminate blind spots.

Reducing integration bits below log2(W×H×2k) lowers memory space requirements while managing overflow values in the GPU pipeline.

A processing system filters 3D point cloud data to identify open spaces and set target directions for mobile robot navigation.

A processing unit eliminates reflection-absorption bands to calculate coefficient components for generating illumination-corrected images.

Radon transform and Fourier spectrum analysis estimate motion blur parameters to resolve contradictions between measurement precision and detection reliability.

A liquid crystal shutter forms a coded aperture with varying light transmittance to calculate depth maps from captured images.

A classification algorithm parameterizes a modification algorithm to adjust visual appearance of specific image segments in medical imaging workflows.

A hairline contour locating method adjusts initial contours using grayscale differences to extract accurate forehead skin regions.

Segmented color patterns resolve curved surface calibration errors by enabling accurate position detection even when dot patterns remain undetected.

Multi-method edge detection isolates document boundaries from complex backgrounds, resolving accuracy versus system complexity trade-offs.

A flatbed scanner captures digital images of objects for dimension measurement.

Cached transform matrices fill missing pixels in stabilized video frames, reducing storage and processing overhead.

A neural network pipeline evaluates document image quality using object detection and clarity assessment models.

A charged particle microscope generates synthetic high-resolution images using dictionary learning and sparse representation.

Generative adversarial networks synthesize training data to eliminate manual annotation, enabling accurate turbine blade damage detection.

An image processor shifts the virtual viewpoint forward to show lateral surfaces, resolving blind spots in rear-only views.

A quantitative validation system tracks interventional instrument position to measure procedure quality metrics and clinician skill levels.

Automated multi-plane imaging replaces manual counting and sample settling, enabling rapid particle analysis without expensive centralized equipment.

A dividing unit stabilizes region division by maintaining consistent representative points across video frames.

An image processing apparatus generates composite images combining real-time fluoroscopy with parameter maps to support catheter navigation.

Enhances bronchial airway models by correlating vascular network data to complete missing anatomical segments.

A 3D measurement system overlays reliability indices on captured images to visually identify areas failing predetermined criteria.

A depth system uses velocity supervision loss to generate metrically scaled estimates from monocular video sequences.

Automated image analysis detects road section line wear levels using vehicle-mounted cameras and processor circuitry.

Machine learning models process medical imaging data to detect drug consumption, replacing invasive blood tests with non-invasive real-time monitoring.

A plant monitoring terminal displays dynamic user interfaces to visualize defective plants captured by cameras.

Sub-50 millisecond acquisition and segmentation-guided backprojection reduce contrast medium use while resolving temporal resolution limits.

A multi-camera apparatus controls simultaneous image capture to synthesize virtual viewpoints from shifted timing inputs.

A convolutional neural network extracts local and non-local feature amounts from a pathological image to retrieve similar reference images.

Selective infrared illumination sources activate based on detected occupant location to eliminate bright spots that saturate imaging devices.

Automated vector conversion replaces visual comparison to resolve the contradiction between evaluation simplicity and measurement precision.

A portable radio frequency imaging device directs ultra-wideband signals toward a patient's head to generate medical images.

A working vehicle control system calculates optimal driving speed using terrain scan data and vibration measurements to maintain stable operation.

A mobile license plate detector recovers vehicle identification numbers from images captured at varying angles and distances.

A fundus image calibration method determines papilla and effective imaging regions to standardize pixel dimensions across different cameras.

A SEM inspection apparatus color-codes wiring lines based on resistance and capacitance components to align design data with inspection images.

An automated water level monitoring system processes captured images to mark virtual alert points, eliminating equipment loss risks from physical gauges.

Segmented inspection stages and automated classification distinguish systematic defects from noise, enabling precise metrology site identification.

Epipolar constraints segment the matching problem into linear searches, resolving ambiguity in complex structured light patterns without additional hardware.

A spectral image diagnostic system calculates intensity ratios to normalize illumination variations across wavelength bands.

An image processing apparatus combines multiple images captured under different exposure conditions to correct brightness in designated areas.

A picture processing system detects target image regions and zooms them in an editing interface to simplify user interaction.

A classification model predicts next pixel coordinates to connect severed boundaries in medical image segmentation.

A display control device calculates light source values to adjust luminance and color conversion data for segmented backlight regions.

A control circuitry system processes three-dimensional computed tomography imaging data to extract image features for automated defect detection.

Analyzes magnetic resonance data to compile a dental overview map, reducing acquisition time and motion artifacts through section segmentation.