Image Enhancement TRIZ Cases

Feature motion determination unit extracts target movements from capturing data for viewer distribution.

Camera system records patient surface data to register with internal structure images for precise imaging control.

An image processing method converts texture data between color standards using pre-calculated parameters.

Autoencoder image restoration aligns binocular pixels before depth estimation, reducing pixel value differences that cause inaccurate predictions.

Assigns metrology data as defect attributes to differentiate nuisance signals from defects of interest on semiconductor wafers.

Machine learning models generate continuous grain size logs from petrographic thin section images, resolving non-representative discrete sampling limitations.

Oblique LIDAR scanning captures vertical structures at angles, resolving low point density without slowing flight speeds or increasing pulse interference.

A driving behavior detection system captures arm and head images to identify abnormal driver actions.

Dynamic PET imaging generates hepatic scores from radiotracer kinetic parameters to characterize liver inflammation without invasive biopsy.

Applying a trained random forest regression model to quantitative MR maps detects microstructural changes, improving tissue development evaluation accuracy.

A calibration slate with printed colors corrects video color accuracy, resolving inconsistent representation of wounds and skin conditions.

A region determining unit identifies less frequently viewed areas of a wide-angle image, and a reduction unit deletes those regions to generate a smaller data stream.

A living body detection device analyzes reflected luminance at specific infrared wavelengths to distinguish human skin from disguising masks.

A fastening tool system uses a camera and convolutional neural network to recognize fastening portions and adjust torque values automatically.

A Fast VSLAM Initialization module detects interest points from one image to estimate camera pose and begin tracking immediately.

Hidden layer outputs from trained neural networks create anonymized image fingerprints that preserve diagnostic information while protecting patient privacy.

A monolithic mathematical image processing method determines correction values for color components using convolution matrices and directional estimation.

A spatiotemporal neural network fuses spatial and temporal outputs to detect fetal cardiovascular anomalies in ultrasound imaging data.

Iterative image processing uses objective functions with sparsity and continuity terms to resolve low reconstruction speed and artifacts.

A matrix barcode uses an infrared layer and colorspace conversion to encode data.

A video generation apparatus adjusts extraction parameters to produce depth expression videos with precise object positioning.

Motion detection selects reference frames across camera views, reducing video bitrate while maintaining quality.

Adjustable slicing direction resolves inspection efficiency bottlenecks by revealing critical features in reconstructed volumes.

A 3D scene map generation method registers point cloud frames, deletes movable obstacles, and replaces regular objects with geometry models.

A position measurement apparatus selects between two-dimensional and combined image modes based on object state.

An ensemble of YOLO and U-Net models segments vessels to prioritize high-risk patients, reducing manual radiologist workload.

A computational observer processes images through display and eye models to simulate human visual perception.

Interactive zones enlarge small device features in clinical interfaces, reducing selection precision requirements for guidewires and catheters.

An image processing apparatus estimates integration time to terminate object detection early.

A mesh structure detection device projects three-dimensional data onto a horizontal plane to identify vertical poles using density thresholds.

Image processing detects limb keypoints to drive a virtual model, resolving the trade-off between user privacy protection and video quality degradation.

Segmenting high-resolution images into overlapping blocks preserves details while reducing training time, enabling precise tumor localization.

Preliminary denoising prevents noise amplification during contrast enhancement in mobile imaging systems.

Optical sensing detects hand position and gestures to replace mechanical switches, resolving interface complexity constraints.

Applying a non-linear mapping function to neural network layer outputs generates depth data directly, resolving scale ambiguity in multi-camera setups.

A multi-task deep learning network processes 3D chest CT images to detect disease conditions and assess severity simultaneously.

A processing facility crops a designated video sub-region to generate control signals for remote camera adjustment.

A program generation apparatus compares intermediate output images with target images to determine survival selection for genetic programming.

A trailer imaging system generates a transparent rear view using multiple cameras to produce a 360-degree surround display.

A static virtual camera system positions itself within a body cavity to render precise images of narrow anatomical openings.

Analyzes transition counts of classified edge orientations within unit regions to resolve detection accuracy issues caused by partially detached contaminants.

Image processing device clips rearview camera footage based on detected driver face position to display relevant surroundings.

A computer-implemented method merges patient-specific medical image datasets into a unified three-dimensional cardiac model using automated contour fitting.

An automated system validates product images by extracting visual features and cross-referencing them with textual descriptions.

A robotic dentistry system uses a user interface to present reduction plans for dentist approval before executing extraction or preparation.

An automated system generates attention and movement maps from video frames to measure infant focus objectively.

A video camera local positioning system determines target coordinates using pan-tilt mechanisms and calibration points.

Tracking fiduciary markers on turning pages compensates for shape distortion and motion blur, maintaining accurate augmented reality overlay alignment.

A display control section generates sequential marks on stereo images to guide user designation of corresponding measurement points.

Offloading 3D reconstruction to edge servers reduces mobile battery drain and heat while maintaining real-time processing speeds.