Image Enhancement TRIZ Cases

A polarization degree correction unit minimizes noise impact on object surface information by applying gain based on calculated noise variance.

A raindrop-image-recognition model replaces detected droplets with prior scene regions to restore image clarity.

Automated image processing replaces manual sketching to eliminate safety risks and reduce construction delays.

A camera system images a visual target with an embedded GPS receiver to derive precise 3D coordinates and establish a transformation matrix.

A trained neural network adapts projection matrices from initial static models and captured X-ray data to generate 3D results.

Surgical microscopy systems record and store annotated images for machine learning training, minimizing disruption to medical workflows.

Block match denoising processes image portions in real-time using pixel averaging, reducing latency while maintaining quality.

A pseudo-three-dimensional neural network processes sagittal, transverse, and coronal planes to denoise medical image volumes.

Image processing apparatus adapts high dynamic range content using luminance conversion metadata for accurate display output.

Inertial orientation sensors fused with optical data determine camera position and orientation in a global reference frame.

A vehicle system detects driver gaze and hand position to automatically activate turn indicators based on traffic conditions.

Information processing device generates projection images matching compression member sizes for mammography apparatuses.

Position encoding feature maps integrate camera parameters into neural networks, ensuring reliable 3D visual perception across varying camera configurations.

Image processing device derives positional deviations between projection images using pseudo-projection techniques.

A lithographic pattern inspection method counts remaining features in region-of-interest images to identify defects.

A visual localization map update system calculates relative and absolute poses from consecutive images to maintain accurate spatial positioning data.

A classification model trained on pseudo-stained images automates cell analysis in histological slides, reducing pathologist workload and equipment costs.

A generative neural network creates a template image from good parts to identify defects by comparing input images against the reference.

A region extraction model learning apparatus generates composited learning data by combining person regions with background images.

An image processing apparatus updates tracking target identification information when subjects are detected in video frames.

Wireless tracker and camera calibration board normalize imaging parameters to resolve high device cost and variable focal length accuracy issues.

Multimodal deep learning system identifies predictive biomarkers from histopathology images and clinical data to guide personalized treatment decisions.

Neural networks generate an alignment index to classify image and LiDAR data points, correcting misalignment errors in autonomous vehicle sensors.

A neural network assigns quality scores to images during iterative reconstruction to automate assessment and optimization.

A method reduces correction complexity by aligning multi-directional image deformation along a single axis through intermediate rotation.

Predicting errors at block boundaries reduces longitudinal memory storage and minimizes image distortion during parallel halftone processing.

A calibration method corrects moving obstacle posture using static reference matching.

Processing elements multiply input data with weights using only non-zero values.

Camera arrangement uses a balancer and shading corrector to maintain uniform sensor signal mapping across offset fields of view.

A neural network extracts a degradation map from degraded images to perform pixel-wise feature modulation.

Modified marching cubes algorithm segments objects into discrete cubes to calculate mass contributions from volume data.

An image analysis device estimates subject color by capturing images with and without illumination to isolate external light effects.

Software estimates live deer age from photos using morphometric data, replacing invasive tooth examination methods.

Three-dimensional imaging detects buried defects in 3D NAND wafers by extracting spurious optical signals while preserving critical depth information.

A detection device segments object position and class identification into separate units with distinct class definitions.

A respiratory motion detection apparatus projects an illumination pattern onto a person to track chest deformation for signal determination.

A cyber-physical system analyzes electromagnetic spectrum image frames using convolutional and recurrent neural networks to detect asset aberrations.

Binary spherical gradient illumination separates diffuse and specular reflectance, eliminating the need for polarized light sources or restrictive viewpoints.

A processing system extracts specular intensity profiles from RGBD sequences to estimate light source position without dedicated imaging hardware.

Resample deep learning feature maps to generate activation maps, reducing manual marking workload while maintaining detection accuracy.

Generating virtual CT images from SPECT or PET data and a single CT scan reduces radiation exposure while maintaining image registration accuracy.

Color analysis detects document edges without relying on shadows, resolving accuracy issues in low-contrast scanning scenarios.

Image processing apparatus derives mammary gland percentage using fat tissue pixels from multiple compression states.

Dynamic distance range adjustment adapts to varying workpiece heights, preventing clipped whites and ensuring accurate shape reflection in grayscale images.

A CT image processing method replaces raw data channels with model values derived from a pre-scan to remove artifacts.

Top-view image processing estimates filling geometry to generate personalized marketing offers based on actual consumption states.

Extracting a self-gating signal from MRI pixel frequencies to detect periodically moving organs without external sensors.

A hierarchical segmentation method identifies first and second level airways within three dimensional voxel data to construct a complete airway tree.

Harmonic filtering extracts blood flow patterns at the heartbeat frequency, resolving contrast agent bolus blurring and noise in dynamic angiography.