Image Enhancement TRIZ Cases

A vehicle travel assistance device generates an integrated image from infrared and visible sensors to detect road division lines.

A light field image processing apparatus synthesizes multiple images by detecting and eliminating phase differences between shots taken at different positions and timings.

A pixel-wise image segmentation method classifies pixels using a color triangle to generate superpixels efficiently.

A Tchebichef moment shape descriptor computes normalized voxel mass distributions to characterize 3D objects.

A frequency domain image editing system transforms pixel data into time-frequency representations for precise spectral manipulation.

Recursive atrous self-attention transformer blocks reduce computational costs while maintaining high segmentation accuracy on low-resolution inputs.

Deep learning extracts cervical spine landmarks to calculate maturity metrics for bone age assessment.

Quantifies tumor-associated vascular network disorder through localized Hough transforms, distinguishing responders from non-responders.

Wavelet decomposition and 2-D Fourier transforms remove vertical stripe artifacts, enabling high frame rates without image quality loss.

A Fast Fourier Transform device extensions library selects optimal implementations based on operation properties.

Linear fiducials enable real-time detection of transverse movement deviations, correcting scan path errors to ensure precise sample cluster localization.

Multiplexed sensing membrane with varied immunoreaction spots mitigates hook-effect and matrix effects in complex samples through neural network analysis.

Information processing apparatus acquires imaging target and terminal device position data to generate instruction information.

A launching device and image detector track tennis ball flight paths to calculate virtual landing spots.

Segmenting regions of interest via a random decision forest reduces computational resource usage while maintaining depth accuracy.

Automated computer system executes continuous display and audio verification sequences to eliminate manual operator errors during production testing.

Calculating reading frequency and transfer counts allows selective visual deterioration, resolving indistinguishable copy pricing challenges.

Dynamic learned model selection adapts to available frame counts, enabling real-time noise reduction without waiting for full sequences.

Retaining unselected non-reference skeleton poses in a dedicated library eliminates the need to remake shape models, reducing animation production workload.

Sequential image passes load rows into local memory to extract contours, resolving speed and memory capacity trade-offs.

NIR fluorescent co-staining with AMACR biomarkers enables automated classification of prostatic tissue into benign and malignant categories.

Multiple depth-sensing cameras track high-speed ball movements obscured from view, resolving measurement precision issues.

Hierarchical decomposition of monocular video into atomic and high-order scenes enables real-time semantic recognition while managing system complexity.

An octree hierarchy subdivides massive point clouds into manageable sectors, reducing computational burdens during rapid image assembly.

A care device recommendation server analyzes face images to determine skin conditions and recommends suitable devices.

Data bundles capture live actor scans to automate muscle strain derivation, eliminating tedious manual parameter setting for computer animation.

Image sensors and machine learning models process parking spot visuals to determine occupancy, reducing time spent searching for available spaces.

Segmenting high contrast areas enables edge-preserving subsampling that avoids color bleeding while maintaining image saturation.

A voting-based triangulation technique determines 3D positions of static objects from noisy 2D image data.

Ultrasound probe measures temperature distribution via acoustic heating rates, eliminating phantom calibration needs.

A pixel quantization method selects rounding modes based on a test image to maintain temporal coherence across dynamic range conversions.

An augmented reality system inspects turbine engine test stands using real-time image comparison to detect anomalies and foreign objects.

Motion detector tracks operator eye movement to switch endoscopic and diagnostic images on a head-mounted display.

A multi-modal visualization system registers medical images from different timepoints to enable accurate tumor comparison.

A data adaptive structure-preserving smoothing method reduces random noise in 3D seismic attributes while maintaining structural details.

Segmented quads with rotational-invariant codes enable robust 3D pose estimation despite partial marker obstruction or out-of-focus conditions.

Automated nital etch inspection replaces manual visual checks with image processing to eliminate inspector fatigue and ensure consistent gear quality control.

A rib developed image generation apparatus moves a core line to produce cross sections while maintaining body axis alignment.

A learning area is set for each object based on generated shape data to limit sampling points.

A diagnostic apparatus acquires visible light and infrared images to specify corresponding anatomical areas for temperature measurement.

A smoothing method for time data sequences determines global and local trajectory directions to adaptively calculate new data points.

An inference unit retrieves past reference images to correct real-time camera feeds for clearer object recognition.

Deep learning models refine low-resolution core images to estimate pore-size distribution, resolving imaging speed constraints.

A layered image display system generates overlapping medical images with controlled opacity on a single screen.

Generating a virtual body model from user photos enables accurate garment fit visualization, reducing online return rates.

Processor circuit overlays instrument envelope on body cavity images to prevent tissue damage during robotic surgery.

A binarized image analysis method determines text row orientation by calculating horizontal and vertical white pixel run histograms.

Combines image texture and point cloud geometry into a unified feature vector to boost positioning accuracy without increasing processing latency.

Time-multiplexed exposure prevents overexposure of close objects and underexposure of far objects, enhancing measurement accuracy.

A control unit switches imaging zoom settings to capture identification data and wider coverage images.

A ToF computation device evaluates multi-phase intensity information to identify and exclude blurred pixels from depth estimation.

An AI method extracts moving objects from video frames to generate loop sequences with spatiotemporal consistency.

Segmenting spectral data across networked processors and specialized hardware eliminates CPU bottlenecks, enabling real-time frame rates for high-speed imaging.

A monocular camera with a coded aperture captures facial images and estimates depth, eliminating bulky stereo or infrared hardware.

A video cropping method selects optimal regions using detection box cost calculations to preserve important information.

Motion vectors estimate human skeleton positions from video frames, reducing calculation loads caused by complex background processing.

A 3D face shape derivation device maps facial feature points between image frames using preset positions.

An asymmetric aperture design optimizes light gathering and focus condition measurement within a compact eyetracking device.

A processing system generates a three dimensional model using neural radiance fields and spherical harmonics from multiple images.

Image processing aligns zoom camera optical axes to compensate for assembly errors without mechanical adjustments.

A machine-learning model generates a position map to create high-resolution 3D meshes for detailed avatar rendering.

Dynamic TDI readout synchronization tracks varying object speeds to eliminate motion blur and artifacts in industrial imaging.

Superpixel graph minimization segments unclear medical boundaries automatically, eliminating time-consuming data annotation.

Lock-in infrared thermography detects subsurface plastic strain zones to identify defaced serial numbers on metal surfaces.

A digital microscope processor transmits partial image data to remote users during scanning operations.

A medical image diagnostic apparatus sends acquired images to a processing unit for automated disease analysis and displays resulting warnings.

A vehicle determines its six degree-of-freedom pose using a topological map and semantic point cloud image.

A video processing device identifies camera models by sending test commands and evaluating the resulting video samples.

Background subtraction isolates remote participants, enabling layering on standard monitors to resolve tiling inefficiencies and wasted screen area.

Participant device detects user disengagement through visual characteristics and displays a corrective overlay on the screen.

An image inspection system adjusts patch reading parameters to maintain accuracy across diverse media types.

Virtual correction patterns eliminate physical calibration tools by extracting feature points to simultaneously correct lens distortion and installation errors.

A program generating apparatus sets selection probabilities for parameter values in partial programs to evolve individuals via genetic programming.

A remote validation system compares automated people counts with manual observations to verify sensor accuracy.

An image analysis module subtracts sequential thermal images to identify part drag, preventing device damage and ensuring proper temperature control.

Ultrasound apparatus tracks myocardial movement to calculate fiber-aligned strain components, replacing MRI complexity with real-time speckle tracking.

A common restoration filter processes image data using representative transfer functions to restore resolution across multiple imaging optical systems.

An image capture apparatus corrects defocus amounts using peripheral area data to adjust focus of an imaging optical system.

Segmenting unordered point clouds into blocks reduces establishment time and energy consumption during high-speed KNN operations.

A spatial gradient map extends from an anatomical frame to distinguish person pixels from background.

Bidirectional image registration propagates annotations from reference pathology slides to intermediate slices for accurate tissue dissection.

A medical image segmentation system applies a transformation function to a probability map for automatic object delineation.

Ultraviolet light weakens adhesive strength to enable wafer image capture, preventing cracks during thinning processes.

A change degree deriving device captures images of a known color body and an object to assess deterioration levels through computational analysis.

A neural network classifies facial expressions using fused 3D depth and 2D color image data for robust recognition.

Segments map construction into functional circuits to balance measurement precision against device complexity.

Weighted high-pass filtering enhances details while suppressing noise in low-light images.

Segmenting omnidirectional images into prioritized regions enables accurate photometric evaluation and consistent exposure across varying orientations.

Selective template updates resolve the contradiction between adaptability and stability, maintaining high accuracy while reducing processing load.

A segmentation model trained on diverse image data produces high-accuracy land classification results.

A camera calibration method determines actual mounting height by projecting a roadway section into the image plane.

A tissue analysis system estimates stain component images by adopting prior knowledge of stain variability using a Gaussian distribution.

Segmenting processing into two networks resolves the contradiction between synthesis capability and image definition while minimizing shape deformation.

Beam splitters enable simultaneous bright and dark field imaging to resolve the trade-off between inspection speed and defect detection accuracy.

Decompose luminance into frequency sub-bands to adjust pixel frequencies and reconstruct the image.

Generate 1D and 2D histograms from 3D point cloud data to reduce computational costs.

Metering mode information sets target areas for representative luminance calculation, enabling tone mapping that aligns with photographer shooting intentions.

A system adjusts an image analysis region size and location based on distance metrics to control light sources.

Detects iris regions and performs image conversion to prevent extraction of unique feature data, mitigating privacy leakage risks from high-resolution imaging.