Image Enhancement TRIZ Cases

Segmenting 3D models reduces storage burdens while enabling real-time updates via imaging and depth data stitching.

An image evaluation apparatus selects representative images to calculate impression differences for quality assessment.

A smiling face detection unit uses an object classifier to identify faces in video frames.

A vehicle object detection device sets dense candidate points within an ultrasonic-defined range to reduce computational burden.

Visual range mapping method aligns eye detection coordinates with display ranges using calculated calibration values.

A stereoscopic image processing unit extracts sub-images and compares their brightness to identify matching pairs.

A quantization control unit adjusts bit precision across image regions to optimize encoding efficiency.

A secondary recognition unit processes unrecognized articles to boost classification accuracy without adding continuous hardware complexity.

Fusing lidar point clouds with camera images generates unified 3D obstacle maps, resolving tracking inconsistencies from independent sensor processing.

LIDAR depth sensing enhances feature contours in poor lighting without adding distracting graphics that obstruct the driver's view.

Video image processing amplifies skin motion over arteriovenous fistulas to estimate blood flow characteristics.

Pre-computed transform coefficients simulate film grain patterns while preserving texture during compression.

Mirror array directs non-adjacent light beams to capture substrate images, resolving measurement errors in maskless lithography alignment.

A 3D model generation system uses segmentation masks to exclude moving objects from depth data.

Motion estimation uses 3D auxiliary data to generate motion vectors for point cloud patches.

An information processing apparatus derives evaluation values for body part regions overlapping lesions to select high-certainty areas.

An image analyzer calculates density and optical flow across divided blocks to identify unsteady regions.

An object tracking apparatus selects video frames based on calculated detection difficulty degrees to improve tracking precision.

A thermal imager uses a controlled calibration source to deliver precise temperature readings near human body levels.

Optical system moves focal position to acquire images at multiple positions and calculates a first phase distribution of the three-dimensional region.

Image processing device evaluates past joining positions to generate composite images with improved alignment accuracy.

Automated computed tomography analysis detects internal lattice defects by comparing volumetric scan data against three-dimensional mesh models.

A unified interface enables simultaneous manipulation of operating controls for image modifications.

An image processing apparatus minimizes N-order energy to segment target regions using similar outlines.

Integrating optical coherent imaging and fluorescence sensors into a single movable unit for simultaneous vascular assessment.

Integrated display merges analysis information with coating data to reduce correction time for imprint pattern defects.

Circuitry compares stereo images to identify blurred regions overlapping treatment areas, reducing operator fatigue from false warnings.

Dynamic pose verification thresholds reduce display interruption time by allowing reinitialization within allowable drift ranges.

A rearview mirror mounting assembly integrates electrical conductors within an overmolded polymeric channel to eliminate manual ball member insertion.

A tracking system detects object areas in video frames and forecasts locations for subsequent frames using a deep learning model.

A synthetic data generation system creates controlled animal images to supplement real captures for AI model training.

Segments SAR imagery into water and land zones using geographic data to apply distinct luminance thresholds, reducing false detections from coastal structures.

A heat trace region extraction device generates difference images from visible and thermal cameras to pinpoint touched areas.

Deeply Supervised Siamese Network generates synthetic character variations to overcome high error rates in Intelligent Character Recognition engines.

Combining plural MRI slices based on estimated signal dispersion to reconstruct images with preserved signal integrity.

Multi-sensor fusion and periodic sleep cycles reduce false positives and conserve battery power while delivering accurate pest presence data.

Integrated optical path in video glasses uses invisible light reflection to detect gaze direction.

An image processing apparatus detects patterns of varying sizes from distinct regions within an acquired image.

A probe moves along test contours to extract intensity recordings from line light images for precise dimensional examination.

An image processing apparatus adapts spatial resolution to enhance angular reflection data fidelity.

A processor creates a 2D reference mesh and determines a curved 3D mesh to sample visual code components for decoding.

Computing device selects optimal x-ray recording angles using a three-dimensional vessel reconstruction to create precise angiographic images.

A mapping rule corrects image data using radial distances from a reference point to reduce computational complexity.

Dynamic hierarchical context organization enables efficient viewing of high-resolution images across varying resolution levels.

A distributed image search system uses auto-predicted subject trajectories to locate moving points of interest across camera networks.

A thermal imager refreshes baseline images after PIR sensors detect no motion, resolving counting inaccuracies from static backgrounds.

Deep convolutional neural network extracts fault features from infrared thermal images for oil-immersed transformers.

Fixed-point linearization simulates an analog electrical network to resolve NP-hard computational complexity in medical image segmentation.

Segmented accumulators process parallel camera data streams to resolve occlusion errors and maintain high-speed inspection throughput.