Image Enhancement TRIZ Cases

Estimating 3D locations of SKU markers allows detection of undetected objects based on stacking patterns, resolving occlusion errors in automated stocktaking.

A zoom camera system fuses color and rotated monochrome sensor signals to maintain high image fidelity.

Transmitters track probe position and orientation to transform coordinate spaces, resolving alignment difficulty while maintaining diagnostic accuracy.

A surgical visualization system employs structured light and spectral imaging to create three-dimensional surface maps of the surgical site.

A guided processing method de-noises spectral CT basis images using one image as a structural guide for the other.

A probabilistic method determines pixel inclusion likelihood based on scribble center distance and visual characteristics to segment image portions.

Decoupling monocular depth estimation into separate scene structure and scale modules reduces training time while improving measurement precision.

Automated lung analysis system generates 3D perspective views of fissure integrity to support bronchoscopy guided lung volume reduction procedures.

Hardware processor converts ultrasonic image data using a learned model to standardize quality across different probe types.

A semantic dense 3D reconstruction method models object shapes as warped category means with instance-specific details.

A prediction system calculates confidence levels for variable speed sign values using traffic and sensor data.

Deep learning networks detect and correct artifacts in sinogram and image domains, reducing rescans caused by noise obscuring pathology.

Facial skin temperature acquisition means detect thermal data to estimate brain activity without electrodes.

A dual camera system determines imaging conditions by analyzing color image luminance and black-white image highlights.

Infrared cameras estimate the visual axis of test subjects, allowing examiners to verify gaze accuracy and improve test reliability without subjective feedback.

Endoscope controller registers intra-operative images with pre-operative 3D data to localize invisible bifurcations obscured by tissue.

DCT-based compressed sensing generates additional spectral bands without increasing hardware complexity or filter count.

Spatiotemporal filters separate HDR video into base and detail layers using optical flow to reduce temporal artifacts while preserving local contrast.

Polygonal scintillation crystal blocks form a hollow structure that improves angular coverage and sensitivity for brain imaging.

A vision and gravity sensing system tracks customer movement and detects shelf weight changes to identify purchased items automatically.

Segmenting ultrasound images into overlapping blocks enables Lanczos decomposition to filter speckle noise while preserving image details and contrast.

A vehicle state determining device estimates movement amounts from extracted feature points to assess motion.

A determination unit detects object movement direction to orient processing areas perpendicularly for consistent feature point tracking across images.

A Fourier series expansion generates interrelation profile analysis data from rotating polarization-maintaining optical fibers to determine symmetry points.

A light-field display uses virtual cameras to generate multi-view AR images composited with real-world scenes.

A system generates simulated anatomical photographs from medical images to convey structural details.

Partitioning convolutional neural networks into fused subgraph nodes allows parallel execution, resolving sequential data flow bottlenecks.

Stereo particle image velocimetry system captures time-resolved velocity fields using synchronized laser sheets and cameras.

Automated recognition of anatomical structures in PET images reduces operator-dependent variability and improves diagnostic accuracy.

A method replaces moving object regions with background pixels from matched input images to restore scene integrity.

Spectrophotometer and machine vision systems measure absolute can colors at high speeds, resolving precision trade-offs in automated decoration inspection.

Combines inertial and image sensors via iterative optimization to improve measurement precision while managing device complexity and computation time.

Cross-domain spatial matching aligns 2D image features with 3D grids to reduce computational complexity in embedded vehicle systems.

Dynamic eye distance calculation via focus sweep resolves auto-focus speed and accuracy contradictions caused by non-standard facial features.

A real-time pathological microscopic image collection and analysis system uses a trained neural network to process image blocks for immediate diagnostic results.

Mask layers extract edge features to reinforce decoded maps, resolving missed edges in conventional CNN segmentation.

A semiconductor defect detection method compares preliminary pattern positions against reference data to identify critical defects.

A selective ray tracing engine corrects low confidence pixel patches in upsampled images.

A foot size measurement device selectively captures and processes individual elements like width and length using image analysis.

Harmonic generation microscopy captures 3D tissue images for deep learning classification of malignant versus normal skin.

A digital processing device generates high dynamic range images by calculating a brightness index and applying threshold-based pixel blending.

A machine learning network applies semantic constraints to inner nodes during training to extract interpretable features from medical images.

A variational autoencoder learns data-driven priors to refine 3D mesh representations from digital images.

An information processing system adjusts evaluation criteria dynamically based on user-specific results to provide personalized assessments.

A display control apparatus detects a celestial rotation axis to align the viewing area with actual star motion.

A hyperspectral camera system paired with a high-specificity probe to identify biological tissue structures.

Depth sensors register augmented reality devices with medical tracking systems, resolving field of view and accuracy issues in surgical environments.

Depth image coordinate systems resolve initialization delays and texture recognition errors in AR measurement applications.

Tracking-based imaging system generates flow maps to process non-keyframes alongside keyframes.

Segmented image patches feed modified autoencoders that learn sparse dictionaries, resolving classification accuracy issues caused by tissue heterogeneity.